187 Data Scientists jobs in Boston

Join to apply for the Financial Data Analysis- Food Management role at Genuine Foods Continue with Google Continue with Google Join to apply for the Financial Data Analysis- Food Management role at Genuine Foods This range is provided by Genuine Foods. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $85,000.00/yr - $5,000.00/yr About Genuine Foods At Genuine Foods, we’re building the future of food service—one partnership, one meal, one community at a time. We create exceptional dining experiences focused on culinary excellence, hospitality, and wellness—unlocking potential and fueling connection in every community we serve. As a fast-growing, purpose-driven company operating nationwide, we’re looking for bold, passionate leaders to help us expand our impact across schools, campuses, healthcare facilities, and beyond. About This Role The Junior Data Analyst role involves collecting, cleaning, analyzing, and visualizing financial data to support business decisions related to contract food service management. Under the guidance of the Vice President, Financial Planning & Analysis, this role will contribute to the development of insights and reports that help Genuine Foods. Key Responsibilities Data Collection and Preparation: Gathering financial data from various sources, ensuring data accuracy, accessibility, and usability. Heavy emphasis on building sales underwriting models and the RFP process Leverage Data to support financial planning and analysis: Building models, analyzing trends, and generating reports for financial decision making. Data Cleaning and Transformation: Preparing financial data for analysis by cleaning, transforming, and ensuring its quality. Data Analysis: Conducting basic statistical analyses and data visualization techniques. Variance Analysis: Identify and research variances to forecasts, budgets, and prior-year expenses. Proactively identify opportunities for improvement. KPI Monitoring: Track and Analyze Key Performance Indicators (KPIs) related to financial metrics, with a strong focus on cost reductions opportunities through operational efficiencies and revenue optimization for all current clientele. Reporting and Communication: Summarizing findings in clear and concise reports and presentations. Collaboration: Working closely with Finance and cross-functional teams to contribute to project goals. Documentation: Documenting analysis processes and results for future reference. Skill Development: Continuously developing skills in data analysis techniques and tools. Any other duties as assigned or needed Qualifications Food Service Knowledge: Prior experience in contract food service or restaurant operations. Finance Modeling: Proficiency in building and maintaining financial models. Analytical Skills: Understanding statistical methods and data analysis techniques. Technical Skills: SQL, Excel, Python (or R). Previous Data Rails experience preferred. Business Acumen: Understanding business operations and how they impact financial performance. Communication Skills: Ability to clearly and concisely communicate findings and insights. Problem-Solving: Ability to identify and address data-related issues. Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Information Technology Industries Food and Beverage Services Referrals increase your chances of interviewing at Genuine Foods by 2x Get notified about new Data Analyst jobs in Boston, MA . Bedford, MA $90,000 100,000 2 weeks ago Remote Data Migration Analyst - 60- 75k (MS Suite, Excel) Data Analyst Contractor - ACO Operations REMOTE Data Migration Specialist - 60k- 75k (SQL, Excel, CRMs) Bedford, MA 80,000.00 - 100,000.00 2 days ago Conversion Rate Optimization Analyst (Funnel Metrics) Marlborough, MA 85,000.00 - 110,000.00 3 weeks ago Quantitative Scientist (Staff / Sr Staff) - Power Markets Boston, MA 70,000.00 - 96,000.00 2 weeks ago Boston, MA 201,000.00 - 257,000.00 2 weeks ago Senior Data Operations Analyst - Health Data Terminology Staff Engineer - Finance Data Specialist (Remote) Vulnerability Management Data Analyst, Vice President Quincy, MA 120,000 - 187,500 19 minutes ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by Ad Age as Data and Insights Agency of the Year, U.S Campaign’s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world’s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries. The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds. Overview Senior Analyst, Data and Analysis The Data & Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients. To help with this, we’re looking for an outstanding Senior Analyst– someone who can analyze substantial data sets, make insightful cross-channel recommendations, and communicate strategic ideas to clients. Sound like you? Read on. As a Senior Analyst,you’ll build the strategic and tactical foundation for data-driven marketing efforts. You’ll work to achieve client goals through brand and acquisition campaigns, site optimization, and/or online testing strategy. Day-to-day, your role includes: Instituting frameworks across project and campaign lifecycles, including measurement plans, primary and secondary research, and performance reporting Diving into large data sets, uncovering insights, and providing impactful recommendations to clients Connecting the dots across channels through data (including display media, site, search, email, and social) to provide a holistic view of marketing efforts Communicating with clients regularly on scheduled results and ad-hoc requests Collaborating with internal teams and external partners to drive success for client’s business goals Qualifications We’re looking for strong, impactful experience, which typically includes: 3-5 years of experience in analytics or strategy Passion for digital marketing and emerging trends in the digital landscape Experience communicating with internal and external partners at a variety of levels Fluency with Excel (including pivot tables and vlookups) and/or other data analysis tools such as SQL or Tableau Comfortable in a fast-paced and deadline-driven environment Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation. Got the sparkle? Apply if you believe your unique skills are a fit! 2025-113347 Additional Information Digitas is an equal opportunity employer. All your information will be kept confidential according to EEO guidelines. If you require accommodation or assistance with the application or onboarding process specifically, please contact . Compensation Range: $72,390 - $104,720 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/15/2025. #J-18808-Ljbffr

Join to apply for the Machine Learning Engineer role at Air Space Intelligence Join to apply for the Machine Learning Engineer role at Air Space Intelligence About Air Space Intelligence ASI enables success for the world's most complex operations. From critical infrastructure to defense, we serve major airlines and U.S. and allied government organizations, providing our partners with a decision advantage from planning to operations. Backed by top-tier investors—including Andreessen Horowitz, Spark Capital, and Renegade Partners—we are boldly investing in R&D and growth to push the boundaries of what’s possible. About Air Space Intelligence ASI enables success for the world's most complex operations. From critical infrastructure to defense, we serve major airlines and U.S. and allied government organizations, providing our partners with a decision advantage from planning to operations. Backed by top-tier investors—including Andreessen Horowitz, Spark Capital, and Renegade Partners—we are boldly investing in R&D and growth to push the boundaries of what’s possible. What You Will Do As part of our core engineering team, you will design and deploy production-grade systems that integrate machine learning models into scalable software pipelines. You’ll develop and ship features that leverage ML to solve real-world optimization and prediction problems, working with modern infrastructure like Kubernetes, AWS, and MLOps tooling. You’ll approach problems with a software engineer’s mindset—prioritizing robustness, maintainability, and performance at scale. What We Value Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of data structures, algorithms, and software engineering best practices. Familiarity with classical ML, deep learning, and MLOps concepts. Experience building and maintaining scalable, reliable systems that include ML components. A bias for simplicity and clarity in solving complex problems. Intellectual curiosity and willingness to collaborate. Clear communication and collaboration across cross-functional teams. How Do We Hire We look at the interview process not as screening test but rather as an opportunity to simulate what it would look like working together. We build the interview process around you. Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Air Space Intelligence by 2x Get notified about new Machine Learning Engineer jobs in Boston, MA . Boston, MA $119,000.00-$69,000.00 2 weeks ago Boston, MA 160,000.00- 280,000.00 1 year ago Machine Learning Engineer, Personalization Boston, MA 136,878.00- 195,540.00 5 days ago Data Scientist, Generative AI & LLM Agents Greater Boston 119,000.00- 169,000.00 3 days ago Boston, MA 130,000.00- 180,000.00 4 months ago Research Scientist, Machine Learning / AI Cambridge, MA 120,000.00- 180,000.00 4 months ago Research Scientist, Machine Learning for Human-Machine Interactions Boston, MA 56.25- 173,000.00 12 hours ago Cambridge, MA 150,000.00- 210,000.00 2 weeks ago Cambridge, MA 140,000.00- 150,000.00 1 day ago Waltham, MA 133,900.00- 242,000.00 1 week ago Boston, MA 125,000.00- 178,000.00 2 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities:

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

Requirements:

• A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.
• Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).
• Experience with multimodal data processing (e.g., combining text, image, and 3D data).
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

#LI-Hybrid

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Job DescriptionJob Description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities:

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives.
• Develop and deploy generative AI models and large models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

Requirements:

• A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly .
• 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.
• Expertise in large-scale and vision models (e.g., Transformers, GPT, VLMs).
• Experience with multimodal data processing (e.g., combining text, image, and 3D data).
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

#LI-Hybrid

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to , , , , , , , veteran, or status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings. Responsibilities: Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development. Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives. Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents. Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models. Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models. Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications. Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment. Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development. Requirements: A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred. 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision. Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs). Experience with multimodal data processing (e.g., combining text, image, and 3D data). Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy. Strong background in probability, statistics, and optimization techniques relevant to generative modeling. Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker). Familiar with software engineering principles, including version control, reproducibility, and continuous integration. Experience in the manufacturing, supply chain, or similar industries is a plus. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. #J-18808-Ljbffr

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.

Responsibilities:

• Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
• Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry's business objectives.
• Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
• Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
• Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
• Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
• Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
• Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities.
• Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
• Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.

• A bachelor's degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
• 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.
• Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).
• Experience with multimodal data processing (e.g., combining text, image, and 3D data).
• Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
• Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
• Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
• Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
• Experience in the manufacturing, supply chain, or similar industries is a plus.

About us:

VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. Our product is already used by thousands of dental clinicians to improve the quality of care through faster diagnoses, increased operating efficiencies, and improved patient understanding.

About the position:

We are looking for a Machine Learning Engineering Manager to join our team and execute on ambitious milestones and influence our product direction. In this role, you will own the day-to-day execution of the ML team, focusing on the design and implementation of infrastructure for reliable and highly performant machine learning and analytics pipelines. The team has a diverse set of ML problems, including detection and classification of dental conditions from medical images and the application of other state-of-the-art ML to our problem domain. You will play a critical role in defining and executing processes for managing large amounts of data and for performing effective evaluations of the clinical efficacy of our algorithms.

In your role as ML Engineering Manager, you will be part of exciting collaborations with researchers, physicians, and regulatory bodies. You will collaborate with company advisors from MIT and Harvard whose expertise spans machine learning, medical imaging, and getting products successfully through the FDA. We are looking for an individual with an exceptional Machine Learning background and a track record of proven delivery who is not shy to take on extensive responsibilities and lead the team through complex technical problems. You will be able to contribute and grow your technical and leadership skills by building end-to-end highly impactful software medical devices that impact the lives of millions of people. Your contributions will play a key role in building a great company from an early stage.

We are looking for someone based in Boston or New York City.

Requirements

• M.S. or PhD in Computer Science, Machine Learning, or related field.

• 7+ years of hands-on development building deep learning and/or data pipelines.

• 2+ years of people/team management experience with a demonstrated ability to lead by example and make your team stronger.

• Excellent strategic communication and collaboration skills.

• Broad ML experience across natural language understanding and computer vision.

• Exceptional Python development skills, including experience in CI/CD and on GitHub.

• Experience applying business context to drive effective decision-making in data science problems.

Preferred

• Experience managing or leading a team through complex projects.

• Publications or blog posts displaying excellent writing on data science or machine learning topics.

• Experience in reading & implementing technical research papers.

• Familiarity with the healthtech industry.

What We Offer

• Fast-paced and collaborative work culture in which you can gain experience, grow your technical skills, and work on a wide variety of challenges over your time with us.

• Competitive pay, equity, and benefits.

• Agile organization where being senior translates to being a mentor and role model for others.

• Technical challenges on the leading edge of innovation where software and machine learning intersect.

Dont meet all the listed requirements? We still encourage you to apply! We are looking for the right teammate who is excited to contribute to our mission and are flexible on the level of experience.

VideaHealth is committed to cultivating an equitable, inclusive, and supportive environment for all employees. We believe this environment creates a safe space for employees to share their experiences, brainstorm ideas, and grow their careers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!

About Us: Cyvl is a Boston-based tech startup revolutionizing the way civil engineering firms and governments map and manage transportation infrastructure. Our enterprise-grade hardware and software solutions leverage 3D mapping sensors to capture LiDAR, imagery, and GPS data, retrofitted to our customers' vehicles. This data is processed through our AI-powered cloud pipelines to generate actionable condition and geospatial reports, saving our customers time, money, and resources. We are in a phase of rapid growth, disrupting a massive and outdated market with our innovative solutions. About the Role: As an MLOps Engineer at Cyvl, you will lead the development of the platforms and tooling that empower our Machine Learning team to move quickly and efficiently. Your primary focus will be optimizing our data curation and annotation workflows, ensuring that all labeled datasets and metadata are centrally organized, easily discoverable, and reusable. Beyond data management, you’ll also support experimentation, model training, and deployment workflows to help us bring ML solutions to production faster and with greater reliability. This is a highly cross-functional role where you’ll collaborate with ML engineers, software engineers, and product managers to enable scalable and reproducible machine learning systems. Responsibilities: Build and maintain scalable pipelines for data ingestion, preprocessing, labeling, and metadata management. Centralize all ML annotations, datasets, and labels using best-in-class data management and labeling tools. Evaluate and integrate third-party tools and frameworks to increase efficiency of the ML development process. Contribute to infrastructure decisions and promote best practices across the MLOps lifecycle. Design and maintain platforms that accelerate ML experimentation, hyperparameter tuning, and training workflows. Collaborate with ML engineers to streamline and automate deployment of models to production environments. Required Skills: 3+ years of experience in an MLOps or related role, supporting a team of at least 3 ML engineers. Strong hands-on experience with Kubernetes and container orchestration for ML workloads. Experience with the AWS SageMaker suite of tools Familiarity with modern data labeling and management platforms (e.g., Label Studio, Kili, Scale AI, CVAT, Prodigy, Postgres, etc.). Experience designing, maintaining, and scaling ML pipelines and tooling. Proficiency in Python and experience with ML libraries (e.g., PyTorch, TensorFlow, scikit-learn). Experience with the Go programming language Experience with experiment tracking tools (e.g., MLflow, Weights & Biases). Strong knowledge of DevOps, CI/CD practices, and cloud infrastructure (AWS preferred). Excellent communication and collaboration skills, with the ability to work effectively across teams. Nice to Have: Experience with data versioning tools like DVC or LakeFS. Exposure to data lake / warehouse solutions like Snowflake or BigQuery. Knowledge of vector databases and semantic search. Familiarity with Argo Workflows Previous work in startup or high-growth environments. Background in building internal tools and dashboards for ML teams. Ideal Cyvl Candidate: Self-motivated, self-starter with a zeal to win Great communicator; strong oral and written skills Ability to think creatively Hands-on problem solver who enjoys cracking difficult nuts Quick study – able to pick up and apply new concepts in a hurry Track record of achievement Enjoys working on and helping to build outstanding teams Demonstrates an entrepreneurial spirit and gets stuff done What We Offer: Competitive salary and equity package Comprehensive health, dental, and vision insurance Opportunities for professional growth and development A collaborative and innovative work culture with a tight-knit team of ~25 employees $130,000 - $175,000 a year If you're passionate about building powerful ML platforms, and you thrive on enabling teams to move faster and smarter with their data, we want to hear from you. At Cyvl, you’ll have the opportunity to take ownership of critical MLOps infrastructure, shape the way our ML engineers work, and have a direct impact on our product and customers. Join us in transforming the future of infrastructure with AI and world-class tooling. #J-18808-Ljbffr