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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Ops Engineer II - **Company:** Boston Children's Hospital - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $93,538.0 - $149,656.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Code Review, Databases, Information Engineering, Extract Transform Load (ETL), EHealth, Python (Programming Language), Machine Learning, Standard Sql, SQL Databases, Cloud Platform System, Deep Learning, Information Technology, Deployment Automation, Data Analytics, Operational Systems - **Published:** August 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17817394?backUrl=%2Fcareer%2F17817394%2FMachine-Learning-Ops-Engineer-Ii-Massachusetts-Boston ## About the Role * A bachelor's degree in computer science, engineering or a related field; master's degree is preferred., * 3-5 years of relevant experience in data engineering, including project leadership responsibilities and advanced technical contributions to AI or machine learning projects. * Proficient in SQL and an understanding of database management systems. * Familiarity with ETL tools; experience with debt is highly advantageous. * Familiarity with nnU-Net and other CNN and deep learning approaches for image segmentation and processing * Strong capabilities in Python or another advanced scripting language, essential for AI and machine learning model development. * Experience with cloud-based data platforms and tools such as AWS, Azure, or GCP is a plus. * Demonstrated experience in managing multiple projects, including developing project plans, tracking progress, and adjusting resources and timelines. ## Description * Leads the development, implementation, and scaling of machine learning models and other AI-driven projects within the Data & Analytics team. * Collaborates with data scientists and other stakeholders to translate complex model requirements into operational systems. * Ensures robust and scalable infrastructure to support AI deployments and continuous learning cycles. * Utilizes SQL, Python, and dbt to build and optimize data models that support complex queries and analyses essential for AI projects. * Interprets data analysis results and communicates findings to both technical and non-technical stakeholders, ensuring actionable insights. * Works closely with healthcare professionals, researchers, and administrators to define and refine data requirements for AI applications. * Provides expert guidance and mentorship to junior engineers and other team members on data science and engineering best practices. * Manages multiple AI and data science projects, ensuring effective communication, adherence to timelines, and delivery within budget. * Acts as a project lead, coordinating efforts across different teams and ensuring project milestones are met. * Develops project plans, tracks progress, and adjusts resources and timelines as needed to ensure successful project delivery. * Partner with Innovation and Digital Health Accelerator to operationalize AI within BCH. * Actively seeks and integrates new technologies and methodologies to enhance the capabilities of AI projects and data processes. * Stays informed of the latest industry trends and technologies, advocating for the adoption of innovative solutions that can provide competitive advantages. * Encourages and leads initiatives to explore and adopt innovative solutions that provide competitive advantages. * Ensures the integrity and reliability of data used in AI and machine learning projects, adhering to quality standards and compliance requirements. * Maintains comprehensive documentation of all data processes, models, and code to ensure reproducibility and adherence to internal and external regulations. * Conducts regular code reviews and quality checks to ensure best practices are followed and standards are met. ## Related Videos - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Build a CI/CD pipeline to automate code reviews and ensure code quality](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)