Senior AI/ML Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 21%

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Clinical Outcomes Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🧬 Biotechnology

Consulting • Healthcare • Biotechnology

Clinical Outcomes Solutions is a global clinical outcomes consultancy that provides comprehensive support and services in all aspects of Clinical Outcome Assessment (COA) research. The company helps inform patient care by capturing the patient voice through innovative scientific methods. It guides organizations in navigating the complexities of clinical outcomes research by crafting strategies and solutions to capture accurate data. Trusted by pharmaceutical and biotechnology companies, the firm ensures regulatory compliance and optimized patient outcomes.

📋 Description

• Design and develop AI-enabled solutions for Statistical Programming across multiple studies and use cases • Build end-to-end Generative AI and agentic workflows covering data and metadata ingestion, retrieval, reasoning, tool use, code generation, execution, validation, and human review • Develop RAG and knowledge-driven solutions integrating organizational standards, metadata, specifications, historical study assets, programming conventions, and approved knowledge sources • Develop modular AI services, APIs, and reusable components, separating deterministic business rules from probabilistic AI/LLM reasoning and generation • Implement AI reliability, reproducibility, and quality controls, including structured inputs/outputs, prompt and model versioning, validation rules, automated evaluation, regression testing, and quality checks • Build traceability and human-in-the-loop capabilities for review, approval, feedback, exception handling, audit trails, and lineage • Support deployment and LLMOps across development, testing, validation, and production environments, including Git/CI/CD, monitoring, logging, model and prompt lifecycle management, security, and performance/cost optimization • Collaborate with Statistical Programming, Enterprise Architecture, IT/Cloud, Security, Validation, and Governance teams to transition proofs of concept into scalable enterprise solutions • Evaluate emerging AI technologies and architectural patterns • Other duties as assigned

🎯 Requirements

• Bachelor’s or master’s degree in computer science, Engineering, Artificial Intelligence, Data Science • 5+ years of hands-on experience in software engineering, AI/ML engineering, data engineering, or related technical roles, with demonstrated experience building and deploying production-quality applications • Hands-on experience developing Generative AI/LLM solutions, including RAG, prompt/context engineering, embeddings, vector search, structured outputs, tool/function calling, and agentic AI workflows • Strong programming skills in Python • Experience with modular design, APIs, Git, automated testing, CI/CD, and preferably containerized/cloud-based applications • Experience working with AWS and familiarity with cloud-based AI/ML services, data storage, security/access controls, logging, and monitoring • Understanding of AI reliability and evaluation concepts, including reproducibility, hallucination mitigation, validation, prompt/model versioning, automated evaluation, regression testing, traceability, and human-in-the-loop approaches • Strong analytical and problem-solving skills • Ability to work across technical and business teams • Good communication and organizational skills • Experience in pharmaceutical/biotechnology or regulated environments and familiarity with clinical data, Statistical Programming, SAS/R, CDISC/SDTM/ADaM, or GxP principles preferred but not required