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<h3>Job Description</h3>
Job Description
Company Description  &nbsp;  The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. &nbsp;
Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like “No Code AI” and “Time Series Forecasting”. &nbsp;
Role Description:&nbsp;
We are seeking a Data Scientist who thrives at the intersection of data transformation, analytics, and implementation. In this role, the Data Scientist will partner directly with clients to prepare, clean, and transform their data so it can seamlessly integrate with our aiCast platform. This Data Scientist will help customers unlock the value of their data—building pipelines, dashboards, and forecasts—and in many cases, own the end-to-end implementation from ingestion through delivery. &nbsp;
This Data Scientist position is centered on data engineering, applied analytics, and client enablement. You’ll play a key role in helping customers get from raw data to actionable insights. 
Responsibilities:&nbsp;
<ul>
<li>
Collaborate with client teams to understand their data sources, structures, and business requirements. &nbsp;
</li>
</ul>
<ul>
<li>
Design and implement data transformation pipelines to prepare data for aiCast ingestion. &nbsp;
</li>
</ul>
<ul>
<li>
Build reporting and dashboarding solutions to help clients interpret and act on their data. &nbsp;
</li>
</ul>
<ul>
<li>
Develop forecasting and analytics workflows to extend client use cases beyond data prep. &nbsp;
</li>
</ul>
<ul>
<li>
Support end-to-end solution delivery—covering extraction, transformation, validation, and deployment—when applicable. &nbsp;
</li>
</ul>
<ul>
<li>
Troubleshoot data quality issues and provide recommendations for improved structures or processes. &nbsp;
</li>
</ul>
<ul>
<li>
Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer. &nbsp;
</li>
</ul>
Qualifications:&nbsp;
<ul>
<li>
At least 1-3 years of experience in a data role, preferably with enterprise clients  &nbsp;
</li>
</ul>
<ul>
<li>
Associate’s or Bachelor’s degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred  &nbsp;
</li>
</ul>
<ul>
<li>
Proficiency in Python, including libraries like NumPy and Pandas for data transformation. &nbsp;
</li>
</ul>
<ul>
<li>
Working knowledge of SQL for querying and joining datasets (intermediate level). &nbsp;
</li>
</ul>
<ul>
<li>
Experience building ETL/ELT pipelines or similar data processing workflows. &nbsp;
</li>
</ul>
<ul>
<li>
Familiarity with data visualization, reporting, or dashboarding tools. &nbsp;
</li>
</ul>
<ul>
<li>
Strong problem-solving skills with a focus on client outcomes and practical implementation. &nbsp;
</li>
</ul>
<ul>
<li>
Ability to work with incomplete or messy data and structure it for usability in production systems. &nbsp;
</li>
</ul>
<ul>
<li>
Excellent communication skills for translating technical work into business impact. &nbsp;
</li>
</ul>
Preferred Skills:&nbsp;
<ul>
<li>
Knowledge of data transformation (e.g. using python Pandas library) database management, data integration, or data visualization is a plus  &nbsp;
</li>
</ul>
<ul>
<li>
Experience with forecasting techniques or applied time-series analytics. &nbsp;
</li>
</ul>
<ul>
<li>
Background in client-facing or consulting roles where you owned implementation delivery. &nbsp;
</li>
</ul>
<ul>
<li>
Understanding of software engineering best practices (version control, testing, deployment). &nbsp; &nbsp;
</li>
</ul>
Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. &nbsp;
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sfmsCHcJWY

Data Scientist

<h3>Job Description</h3>
Job DescriptionDescription:
BETA is seeking an experienced Transportation Project Engineer to join our team. This position will play a key role in performing highway design, developing contract plans and documents, and mentoring junior staff. This position will also collaborate across our multiple service areas, assist with business development, project pursuits, and coordinate projects with our clients. 
Responsibilities:
<ul>
<li>Perform engineering design, review, and preparation of contract documents. </li>
<li>Provide technical oversight mentoring junior staff.</li>
<li>Prepare and review contract documents and reports.</li>
<li>Collaborate with design team members and provide technical support.</li>
<li>Provide client service and assist with proposal pursuits. </li>
</ul>
Preferred location is BETA’s Manchester office. Candidates should have flexibility to work from our other office locations. BETA also offers a hybrid work schedule, allowing employees to request working remotely up to 2 days per week. 
 
Growth Opportunities:
<ul>
<li>BETA encourages and promotes employee advancement and career development</li>
<li>Leads to potential advancement to more senior technical positions and project management</li>
</ul>
Requirements:
Required Experience/Skills:
<ul>
<li>Bachelor's degree in civil engineering, or related field</li>
<li>Professional Engineer license, preferred</li>
<li>5 to 10 years of related engineering experience in highway design, stormwater management, ADA compliance, and roadway construction practices </li>
<li>Proficient with AutoCAD, Civil3D, Microstation, OpenRoads Designer</li>
<li>Experience with MUTCD, AASHTO, DOT design requirements</li>
<li>Experience with RIDEM and CRMC permitting regulations</li>
<li>Must be able to collect field data and measurements including but not limited to roadway, sidewalk, and utility assets; and perform asset inspections </li>
<li>Must be able to lift/move objects weighing up to 40 pounds</li>
<li>Must be able to perform field work in both hot and cold weather (rain and/or snow) </li>
<li>Must be able to stand or sit for long periods of time </li>
<li>Must have a valid driver’s license and reliable transportation </li>
</ul>
About BETA: 
BETA Group, Inc. is a New England based consultant engineering firm and leader in the fields of transportation, traffic, structural, civil/site, and water/wastewater engineering; landscape architecture; urban design and planning; GIS/asset management; environmental sciences and permitting; and construction services. BETA is 100% employee-owned and offers an exceptional compensation and benefits package including:
<ul>
<li>Medical, Dental, Vision, and Additional Voluntary Life Insurance</li>
<li>Short-Term &amp; Long-Term Disability Coverage</li>
<li>Medical &amp; Dependent Care Flexible Spending Account (FSA)</li>
<li>Employee Stock Ownership Plan (ESOP)</li>
<li>Tuition Assistance</li>
<li>Professional Development</li>
<li>Employee Engagement Program</li>
<li>401(k) Plan with annual 401k match </li>
</ul>
BETA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Applicants must be eligible for employment in the USA without sponsorship.

Transportation Project Engineer

<h3>Job Description</h3>
Job DescriptionAbout Merlin: Merlin is a venture backed aerospace startup building a non-human pilot to enable both reduced crew and uncrewed flight. Backed by some of the world’s leading investors, Merlin is scaling alongside our customers to begin leveraging autonomy today to solve some of aviation’s biggest challenges. About You: We are looking for an innovative software engineer specializing in natural language processing to create natural language understanding and generation systems geared toward aviation domains. Someone who enjoys researching and implementing state of the art NLP systems and finding ways to make them excel at unique use cases within aviation.&nbsp; Someone ready to work at the intersection of research and product development and has a strong track record for delivering and maintaining high quality software.Responsibilities:
<ul>
<li>Design and implement NLU and NLG systems for aviation applications such as air traffic control communication.</li>
<li>Develop and optimize algorithms and models to improve current NLU and NLG systems.</li>
<li>Research and stay up to date with the latest advancements in NLP technology.</li>
<li>Work with the larger NLP team to integrate NLU/NLG systems with the rest of the pipeline.</li>
<li>Work with project teams to understand requirements and conops for the systems under development.</li>
<li>Generally contribute to the natural language processing team by following our software and model development process and writing software to integrate work into the larger system.</li>
<li>Learning the aviation domain in which the NLP systems will function.</li>
</ul>
Requirements:
<ul>
<li>BS in Computer Science, Robotics, Natural Language Processing, or a related subject. MS or PhD. preferred.&nbsp;</li>
<li>5+&nbsp; years experience in designing and developing NLU or NLG systems for research or commercial products.</li>
<li>Experience scaling systems to make them high performing given larger scope</li>
<li>Fluency in python and either PyTorch or Tensorflow. Experience with Huggingface.</li>
<li>Experience with linux, open source development tools, software development process and version control tools such as git and weights and biases.</li>
<li>Ability to work effectively in a collaborative team environment and communicate technical concepts clearly.</li>
</ul>
Nice to Haves:
<ul>
<li>Experience deploying models in production environments.</li>
<li>Knowledge in the aviation space.</li>
</ul>
Merlin Labs offers an innovative, entrepreneurial, and team-focused startup environment. We also offer a top-notch benefits package (health, dental, life, unlimited vacation, and 401k with match) and work/life integration. Being part of the Merlin team allows you to become part of a small team that supports professional development while working together to achieve our mission. Merlin Labs is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, genetic information, sex (including pregnancy), gender, gender identity and expression, sexual orientation, age, marital status, military service or obligation or disability status, or any other characteristic protected by law. All job offers are contingent upon the candidate passing background and reference checks. At this time, we are unable to provide visa sponsorship or consider candidates who require visa transfers. Applicants must be authorized to work in the United States without the need for visa sponsorship now or in the future.&nbsp; In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to: <a href="mailto:people@merlinlabs.com" target="_blank">people@merlinlabs.com</a> Merlin Labs does not accept unsolicited resumes from any source other than directly from candidates.

NLP Software Engineer

<h3>Job Description</h3>
Job Description
MERL is seeking a highly motivated and qualified intern to conduct research on applying foundation models to manufacturing scenarios. The focus will be on leveraging large-scale pretrained models (e.g., vision-language models, multimodal transformers, diffusion policies) to specialize generalist manipulation policy to obtain high success rate in diverse but specific tasks. Potential research topics include few-shot policy learning, multimodal grounding of multiple sensor modalities to robot actions, and adapting foundation models for precise control and high success rate.
The ideal candidate will be a senior Ph.D. student with a strong background in machine learning for robotics, particularly in areas such as foundation models, imitation learning, reinforcement learning, and multimodal perception. Knowledge on large-scale Vision-Language-Action (VLA) and multimodal foundation models is expected. The internship will involve algorithm design, model fine-tuning, simulation experiments, and deployment on physical robot platforms equipped with cameras, tactile sensors, and force/torque sensors. The successful candidate will collaborate closely with MERL researchers, with the expectation of publishing in top-tier robotics or AI conferences/journals. Interested candidates should apply with an updated CV and relevant publications.
Required Specific Experience 
<ul>
<li>
Strong background in machine learning for robotics, particularly foundation models (e.g., pi_0, OpenVLA, RT-X, etc.) and imitation learning.
</li>
<li>
Experience with simulation environments such as Mujoco, Isaac Gym, or RLBench.
</li>
<li>
Experience with physical robot platforms and sensors (vision, tactile, force/torque).
</li>
<li>
Proficiency in Python, PyTorch, and modern deep learning frameworks
</li>
<li>
Strong publication record in robotics, machine learning, or AI venues
</li>
</ul>
Internship Details
<ul>
<li>Duration: ~3 months</li>
<li>Start Date: Summer 2026 (flexible based on mutual agreement)</li>
<li>Goal: Publish research at leading robotics/AI conferences and journals</li>
</ul>
The pay range for this internship position will be 6-8K per month.
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. 
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Internship - Foundation Models in Robotics for Manufacturing

<h3>Job Description</h3>
Job Description
About Care Access
Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly into communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow.
With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all.
To learn more about Care Access, visit <a href="http://www.CareAccess.com" target="_blank">www.CareAccess.com</a>.
How This Role Makes a Difference
We are seeking an experienced and detail-oriented professional to join our team as a Sr. Data Engineer. In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices, along with strong collaboration skills to help drive excellence across our data infrastructure. 
How You'll Make An Impact
Data Engineering Strategy and Architecture:  
<ul>
<li>Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs.  </li>
<li>Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows. </li>
<li>Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools.  </li>
</ul>
Data Infrastructure and Performance Optimization:  
<ul>
<li>Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).  </li>
<li>Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness.  </li>
<li>Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance.  </li>
</ul>
Collaboration and Stakeholder Engagement: 
<ul>
<li>Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions.  </li>
<li>Review and refine work completed by other team members, ensuring quality and performance standards are met.  </li>
<li>Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity</li>
</ul>
Technology and Tools: 
<ul>
<li>Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions.  </li>
<li>Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms.  </li>
<li>Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations. </li>
</ul>
Other Responsibilities:
<ul>
<li>Continuous Improvement: Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance. </li>
</ul>
The Expertise Required
<ul>
<li>Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure.  </li>
<li>Experience working with structured and semi-structured data from diverse domains.  </li>
<li>Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices.  </li>
<li>Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions. </li>
</ul>
Certifications/Licenses, Education, and Experience:
<ul>
<li>Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field.  </li>
<li>5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines.  </li>
</ul>
How We Work Together
<ul>
<li>This role requires 100% of work to be performed in a remote office environment and requires the ability to use keyboards and other computer equipment. </li>
<li>This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role. </li>
</ul>
The expected salary range for this role is $120,000-$160,000 USD per year. In addition to base pay, employees may be eligible for 401k, stock options, health and wellness benefits and paid time off.
Diversity &amp; Inclusion
We work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission. 
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Care Access is unable to sponsor work visas at this time.
If you need an accommodation to apply for a role with Care Access, please reach out to: <a href="mailto:TalentAcquisition@careaccess.com" target="_blank">TalentAcquisition@careaccess.com</a>

Senior Data Engineer

<h3>Job Description</h3>
Job Description
Our Client
A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts.
About Us
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations.
We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
Location: San Francisco
Work type: Full Time,
Compensation: above market base + bonus + equity
Roles &amp; Responsibilities
<ul>
<li>
Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use.
</li>
<li>
Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems.
</li>
<li>
Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions.
</li>
<li>
Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops.
</li>
<li>
Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making.
</li>
<li>
Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally.
</li>
<li>
Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases.
</li>
<li>
Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization.
</li>
</ul>
Qualifications
<ul>
<li>
Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics.
</li>
<li>
Excellent written and verbal communication; proactive and collaborative mindset.
</li>
<li>
Comfortable in hybrid or distributed environments with strong ownership and accountability.
</li>
<li>
A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes.
</li>
<li>
Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly.
</li>
</ul>
Core Experience
<ul>
<li>
6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design.
</li>
<li>
Expert SQL (query optimization on large datasets) and Python skills.
</li>
<li>
Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect).
</li>
<li>
Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability.
</li>
<li>
Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure).
</li>
<li>
Bonus: Strong Node.js skills for faster onboarding and system integration.
</li>
<li>
Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.
</li>
</ul>

Tech Lead, Data & Inference Engineer

<h3>Job Description</h3>
Job DescriptionPosition Summary
The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.
You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement
Key Responsibilities
<ul>
<li>Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.</li>
<li>Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.</li>
<li>Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.</li>
<li>Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.</li>
<li>Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.</li>
<li>Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).</li>
<li>Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.</li>
<li>Document data engineering processes, data models, and data dictionaries.</li>
<li>Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.</li>
</ul>
Requirements
Required
<ul>
<li>Bachelor's degree in Computer Science, Engineering, or a related field.</li>
<li>Proven experience as a Data Engineer, with a focus on big data technologies.</li>
<li>Strong proficiency in programming languages such as Python, Scala, or Java.</li>
<li>Extensive experience with data warehousing, ETL processes, and data modeling.</li>
<li>Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.</li>
<li>Hands-on experience with big data frameworks like Apache Spark for distributed processing.</li>
<li>Excellent problem-solving skills and the ability to work independently and as part of a team.</li>
<li>Strong communication and interpersonal skills.</li>
</ul>
Preferred
<ul>
<li>Master's degree in a related field.</li>
<li>Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).</li>
<li>Familiarity with machine learning concepts and LLM fine-tuning processes.</li>
<li>Experience with data orchestration tools (e.g., Apache Airflow).</li>
</ul>
Benefits
Why Join Us?
Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.
Benefits:
<ul>
<li>Competitive salary and benefits package.</li>
<li>Flexible working arrangements (remote or hybrid options available).</li>
<li>The opportunity to work on life-changing AI technology that directly impacts patient outcomes.</li>
<li>Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.</li>
<li>Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.</li>
</ul>

AI Data Engineer

<h3>Job Description</h3>
Job DescriptionWhite River Toyota (WRT) is the Upper Valley's home for quality new and certified used Toyota vehicles, as well as used vehicles of all makes and models. We have been serving customers in New Hampshire, and Vermont since 1994. Our staff is provided with Toyota factory training, and equipped with the best technology available to make the customer experience at our dealership is the best it can possibly be. We're always seeking skilled and experienced automotive technicians. Beyond that our needs shift, if the job you're looking for is not currently listed on our careers site, apply here!The majority of our positions require that:
<ul>
<li>You have a high school diploma or equivalent (unless enrolled in an Automotive High School Technical Program).</li>
<li>You are 18 years of age or older (unless enrolled in an Automotive High School Technical Program).</li>
<li>You have a valid Driver's License with an acceptable driving record.</li>
<li>You value our commitment to respect, quality, integrity, teamwork, community &amp; growth.</li>
</ul>
As a Member of the WRT Team, You'll Enjoy:
<ul>
<li>Medical along with dental/vision/life/disability insurance;</li>
<li>Flex spending accounts; 401(k) with company match;</li>
<li>Immediate accrual of paid time off;</li>
<li>Wellness offerings; substantial vehicle/service discounts;</li>
<li>Annual incentives and opportunity for advancement;</li>
<li>Community involvement, company events &amp; more!</li>
</ul>

General Application

<h3>Job Description</h3>
Job Description
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. 
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 
Our interview process involves several technical interviews and we aim to complete them within 1 week. 
What You'll Do
<ul>
<li>Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements</li>
<li>Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability</li>
<li>Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients</li>
<li>Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>Proven experience in backend development: TS/Node (required)</li>
<li>Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers</li>
<li>Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact</li>
<li>Preferred: Experience with Docker and containerized deployments</li>
<li>Preferred: Proficiency in deploying high availability applications on Kubernetes</li>
</ul>
What We Offer 
<ul>
<li>A dynamic environment where your contributions shape the company and its products</li>
<li>A team that values innovation, intuition, and drive</li>
<li>Autonomy, fostering focus and creativity</li>
<li>The opportunity to have a significant impact in a revolutionary industry</li>
<li>Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture</li>
<li>The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more</li>
<li>An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain</li>
</ul>
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you're a good fit for this job? 
Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit? 
Refer them! 
Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Software Engineer, Platform - Cambridge, USA

<h3>Job Description</h3>
Job DescriptionRecords Information Manager IVEmployment Type: Full-Time, ExperiencedDepartment: Office Support&nbsp;CGS is seeking an experienced Records Information Manager to provide technical, management, and documentation support for&nbsp;a large Federal agency initiative.&nbsp;CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation,&nbsp;appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.&nbsp;Skills and attributes for success:-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Supervising other staff members in support of the Records Information Manager V-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Provides technical support for records management programs, dockets, records center, or other information service under the supervision of a Records Information Manager V. -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; May assist in planning and program development, analysis of records or docket management problems, and design of strategies to meet ongoing records or docket management problems, and design of strategies to meet ongoing records or docket management needs. -&nbsp;&nbsp;&nbsp;&nbsp; Specific technical duties may vary according to the needs of the work site and include, but are not limited to, response to inquiries; collection maintenance and retrieval tasks; metadata review and input; equipment maintenance; and use of automated information systems, such as the Federal Docket Management System (FDMS).-&nbsp;&nbsp;&nbsp;&nbsp; This position supports RIM Education and/or Experience&nbsp;Qualifications:-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;At Level IV, the personnel must have at least seven (7) years of records management experience. -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with at least one automated information system is required. -&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; A college degree is preferred but not required.&nbsp;Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems.&nbsp;For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.&nbsp;Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.&nbsp;We care about our employees. Therefore, we offer a comprehensive benefits package.-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Health, Dental, and Vision-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Life Insurance-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 401k-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Flexible Spending Account (Health, Dependent Care, and Commuter)-&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Paid Time Off and Observance of State/Federal Holidays&nbsp;Join our team and become part of government innovation!&nbsp;Explore additional job opportunities with CGS on our Job Board:<a href="https://cgsfederal.com/join-our-team/For" target="_blank">https://cgsfederal.com/join-our-team/For</a> more information about CGS please visit: <a href="https://www.cgsfederal.com" target="_blank">https://www.cgsfederal.com</a> or contact:Email:&nbsp;<a href="mailto:info@cgsfederal.com" target="_blank">info@cgsfederal.com</a>&nbsp;#CJ
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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