Senior Machine Learning / Backend Engineer

Plentiful.ai

full-time

Posted on: 9/22/2025

Origin: • 🇺🇸 United States • California

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Senior

AWSCloudPostgresPythonPyTorchScikit-LearnTensorflow

About the role

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

3+ years of professional backend development experience
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
Solid understanding of CI/CD pipelines, Git workflows, and automated testing for ML/Backend systems (Pytest)
Proven track record of owning projects end-to-end in a fast-paced startup or B2B SaaS environment
Experience in regulated industries (healthcare, HIPAA compliance) preferred
Strong communication skills with the ability to translate ML concepts into product outcomes