Senior Machine Learning Engineer

Навыки

• AI-инструменты в работе
• API (интеграции)
• AWS
• Azure
• CI/CD
• Коммуникация
• Databricks

О компании и продукте

• We are an IT services consultancy placing a Senior Machine Learning Engineer with one of our end clients — a growing healthcare technology organization focused on AI and Data Science. This is a W2 contract engagement ideal for an experienced ML engineer who thrives in fast-paced environments, takes strong ownership of complex initiatives, and has a proven track record building production-grade ML solutions within the healthcare industry.
• You will join the client's AI and Data Science team and lead end-to-end machine learning efforts spanning the full model lifecycle — from data preparation and feature engineering through to deployment, monitoring, and optimization — all within a HIPAA-compliant, enterprise-scale environment.

Задачи

• Take complete ownership of designing, developing, deploying, and maintaining enterprise-scale machine learning solutions
• Build end-to-end ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, monitoring, and retraining
• Design scalable, production-ready ML systems with a focus on high availability, performance, and reliability
• Develop and maintain MLOps pipelines including CI/CD, model registry, feature stores, automated deployment, monitoring, and rollback strategies
• Monitor production models for model drift, data drift, accuracy degradation, and overall system health
• Collaborate cross-functionally with Data Engineers, Software Engineers, Product Managers, Clinical teams, and business stakeholders
• Develop REST APIs and integrate ML services into enterprise cloud applications
• Optimize models for latency, scalability, reliability, and operational cost
• Provide technical leadership on AI/ML initiatives across the team
• Ensure compliance with HIPAA, PHI, PII, and enterprise security standards at all stages of development

Требования

• 8+ years of professional software engineering and machine learning experience
• Strong healthcare industry experience is mandatory
• demonstrated ability to work with sensitive healthcare data under HIPAA and related compliance frameworks
• Full ML lifecycle expertise: data preprocessing, feature engineering, model development, calibration, deployment, monitoring, and maintenance
• Hands-on MLOps experience with a strong ownership mindset
• Proficiency in Python and SQL
• Experience with distributed computing (Apache Spark) and Databricks in production environments
• Practical experience with major cloud platforms: Azure, AWS, and/or GCP
• API development and integration skills
• strong debugging and performance-tuning capabilities
• Excellent communication skills for collaborating with technical and non-technical stakeholders
• Python, SQL, Machine Learning, MLOps
• Databricks, Apache Spark, MLflow
• Feature Store, Model Registry
• CI/CD Pipelines, REST APIs
• Git, Docker
• Kubernetes (preferred)
• Azure / AWS / GCP
• Preferred / Nice-to-Have
• LLMs in production
• prompt engineering, RAG, and GenAI experience
• Scala proficiency
• Managed ML platform experience: Azure ML, Amazon SageMaker, and/or Google Vertex AI
• Experience designing HIPAA-compliant AI solutions and distributed ML architectures

Условия

• Rate: $70–75/hr on W2 (contract engagement)
• Visa Sponsorship: Not available — US work authorization required
• LOCATION
• Based in Palo Alto, CA. On-site / hybrid arrangement at the client's location

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