[Remote] Senior Software Engineer, ML Ops

Remote, USA Full-time
Note: The job is a remote job and is open to candidates in USA. Plenful is on a mission to transform healthcare operations by building an AI agentic operating platform for healthcare teams. The Senior Machine Learning Backend Engineer will lead the integration of advanced ML solutions, focusing on the development of ML-driven features and ensuring performance and compliance in healthcare workflows. Responsibilities • Design, build, and maintain backend services and APIs in Python, with a focus on integrating and deploying machine learning models • Architect scalable infrastructure on AWS (S3, Lambda, SQS, ECS, CloudWatch) to support ML pipelines and inference at scale • Collaborate with product managers, designers, data scientists, and engineers to define and deliver ML-powered product features • Deploy, monitor, and optimize ML models in production, ensuring performance, security, and compliance with HIPAA and other healthcare regulations • Develop and optimize data pipelines for training, inference, and real-time decision-making • Implement best practices for CI/CD, testing (Pytest), and version control (Git) to ensure reliable ML feature deployment • Troubleshoot and resolve production issues across ML services, APIs, and infrastructure • Document architectural decisions, ML workflows, and compliance/security practices • Provide technical leadership—mentoring engineers, reviewing code, and championing backend + ML integration best practices Skills • 4+ years of professional backend development experience, with a Bachelor's degree in Computer Science, Machine Learning, or a related field • Expertise in Python for backend services and ML integration • Strong applied ML experience in a SaaS context—NLP pipelines, LLM fine-tuning/evaluation, or healthcare ML applications • Familiarity with ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers • Hands-on experience with cloud infrastructure (AWS: S3, Lambda, ECS, SQS, CloudWatch) • Proficiency in relational databases (PostgreSQL) and designing schemas to support ML applications • Experience deploying ML models into production systems, not just research or prototyping • Solid understanding of CI/CD pipelines, Git workflows, and automated testing for ML/Backend systems • Proven track record of owning projects end-to-end in a fast-paced startup or B2B SaaS environment • Strong communication skills with the ability to translate ML concepts into product outcomes • Experience in regulated industries (healthcare, HIPAA compliance) preferred Benefits • Unlimited PTO • Health insurance • Meal stipend • Health & wellness stipend • Team offsites • 401K matching • Stock options Company Overview • Plenful is a no-code workflow automation and AI platform that optimizes healthcare's manual, administrative workflows. It was founded in 2021, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is Company H1B Sponsorship • Plenful has a track record of offering H1B sponsorships, with 3 in 2025, 1 in 2023, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job
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