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Python Ai Ml Jobs in Massachusetts (NOW HIRING)

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... Python scientific computing stack (NumPy, Pandas, scikit-learn) • Experience with distributed ... or translating ML approaches to production systems • Proficiency with version control (Git ...

Manifold Bio

AI/ML Research Engineer

Boston, MA · On-site

... Python scientific computing stack (NumPy, Pandas, scikit-learn) • Experience with distributed ... or translating ML approaches to production systems • Proficiency with version control (Git ...

Xforia, Inc.

Principal AI/ML Engineer

Boston, MA · On-site

Proven industry experience as an AI/ML Engineer, with a focus on radar and RF signals, video and ... Proficiency in implementing signal processing algorithms using programming languages such as Python ...

MIT Lincoln Laboratory

AL/ML Programmer

Lexington, MA

As a recognized leader in both basic and applied AI/ML, our group is shaping emerging AI fields and ... Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks ...

MIT Lincoln Laboratory

AL/ML Programmer

Lexington, MA · On-site

We also integrate expertise in multimedia, cyber, and AI assurance to develop cuttingedge ... Advanced Python & ML libraries - expert-level proficiency in Python and deep-learning frameworks ...

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Python Ai Ml information

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

What are the key skills and qualifications needed to thrive as a Python AI ML engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
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What cities in Massachusetts are hiring for Python Ai Ml jobs? Cities in Massachusetts with the most Python Ai Ml job openings:
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Infographic showing various Python Ai Ml job openings in Massachusetts as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Principal Engineer, AI/ML Software

Analog Devices

Boston, MA • On-site

$230K - $300K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 hours ago

Analog Devices rating

8.5

Company rating: 8.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

33rd of 156 rated electronics manufacturers

Job description

About Analog Devices
Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.
Employer: Analog Devices, Inc.
Job Title: Principal Engineer, AI/ML Software
Job Requisition: 1010.557 / R264071
Job Location: Boston, Massachusetts
Job Type: Full Time
Rate of Pay: $230,475 - $300,000 per year
Duties:
Design, build, and maintain robust MLOps (Machine-Learning Operations) software systems. Support the development, deployment, testing, and monitoring of AI/ML models on modern cloud-native platforms. Collaborate with data scientists, software engineers, and stakeholders to operationalize AI/ML solutions and ensure their production readiness. Implement and maintain ETL pipelines, automated workflows, and scalable data stores. Ensure high standards of model performance, security, and scalability through continuous monitoring and enhancement of software infrastructure. Guide the MLOps technology roadmap and evaluate emerging tools and technologies to enhance platform capabilities. Utilize MLOps frameworks such as Kubeflow and MLflow, and work with containerization and orchestration tools including Docker and Kubernetes. Deploy infrastructure using Terraform and manage cloud-based resources on platforms such as GCP, AWS, and Azure. Contribute to Agile development processes and cross-functional team collaboration.
Partial telecommute benefit (3 days/week WFH).
Requirements: Must have a Bachelor's degree in Computer Science, Information Technology, or a related field (or foreign education equivalent) and five (5) years of experience as a software engineer building and maintaining machine learning software workflows.
In the alternative, Master's degree in Computer Science, Information Technology, or a related field (or foreign education equivalent) and three (3) years of experience as a software engineer building and maintaining machine learning software workflows.
Must also possess the following (quantitative experience requirements not applicable to this section):
  • Demonstrated Expertise ("DE") designing, developing, and maintaining end-to-end machine learning (ML) pipelines, including data ingestion, preprocessing, model training, validation, and deployment (using PyTorch or TensorFlow); and managing experiment tracking and model lifecycle with MLflow or CometML;
  • DE in technical leadership of production ML platforms and pipelines-leading a small, cross-functional team; setting standards, running design/code reviews, and mentoring junior engineers;
  • DE building scalable systems on cloud platforms, with hands-on experience designing fault-tolerant architectures, distributed training setups, multi-cloud strategies (using AWS, GCP, or Azure), and automating infrastructure tasks with Linux and shell scripting;
  • DE in containerization, orchestration, and MLOps/DevOps practices, including deploying ML models and pipelines with Docker and Kubernetes; implementing CI/CD and infrastructure-as-code (Terraform or AWS CloudFormation); and setting up monitoring and observability (Prometheus and Grafana);
  • DE developing distributed data processing pipelines for real-time or batch ML workflows (using Apache Airflow and Apache Kafka); and
  • DE leading the design, building, and maintenance of scalable, robust, and secure RESTful APIs and microservices architectures using Python, with knowledge of computer networks and protocols.

Contact: Eligible for employee referral program. Apply online at https://www.analog.com/en/careers.html and Reference Position Number: R264071.
For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.
Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
EEO is the Law: Notice of Applicant Rights Under the Law.
Job Req Type: Experienced
Required Travel: No
Shift Type: 1st Shift/Days
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.

What Analog Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Analog Devices

Sourced by ZipRecruiter

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

Industry

Electrical equipment, appliance, and component manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Norwood, MA, US

Year founded

1965

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