Top Senior Level Python Jobs in Boston, MA

Join ServiceNow as a Senior MLOps Engineer responsible for building the MLOps Platform, developing ML Development tooling, and driving platform adoption. Collaborate with internal teams to implement scalable architectures and cloud-based solutions, automate testing and deployment of ML models, and provide operational support. Must have 5+ years of experience in programming languages and cloud solutions.

The Software Development Manager will lead the Supply Chain and Data Science Platform Team at Chewy, providing technical leadership in data science, code quality, AWS architecture, project planning, team development, and cross-functional collaboration. This role requires a Bachelor's or Master's Degree in Computer Science, 5-10 years of software development experience, and expertise in AWS and cloud technologies.

Seeking a Director - Solution Architect to architect, design, and modernize technology systems, partnering with product and engineering teams to solve business issues effectively. Responsibilities include developing architectural standards, leading solution design, providing technical oversight, and promoting secure software development practices. Requires 10+ years of industry experience and a degree in computer science or related field.

Design, implement, and operate services to strengthen the enterprise readiness of our cloud. Lead technical roadmap and align with goals. Collaborate with cross-functional teams and resolve challenges. Maintain operational and engineering health of systems.

Looking for a Senior Lead Engineer in Generative AI Infrastructure at Capital One to work on building large-scale distributed training clusters, deploying ML models, and supporting AI research and development in public cloud infrastructure.

Senior Data Engineer at Matterworks, responsible for managing the development process, collaborating with cross-functional teams, addressing technical challenges, and contributing to software architecture. Requires 5+ years of experience in developing data pipelines in life sciences or related fields. Proficient in agile development and strong collaboration skills.

As Lead Software Engineer (ML Platform), you will play an instrumental role in advancing our core machine learning platform and infrastructure. You will work with AI research teams to turn cutting-edge machine learning models into commercial products.