Build and deploy enterprise-ready AI solutions using LLMs, other GenAI approaches, and deep learning capabilities.
Scale out AI solutions: optimize performance of solutions, automate deployment and testing
Rapidly prototype and iterate on AI applications using Azure, AWS, and off-the-shelf tools.
Partner with the AI Solutions Architect to ensure scalable, secure, and compliant system design.
Develop APIs and lightweight UIs (e.g., Dash, Flask and others) to deliver AI tools to end users.
Stay current on emerging AI technologies, including vector databases, RAG pipelines, and productivity AI platforms.
Drive delivery of AI components aligned with product roadmaps and business priorities.

Requirements

3+ years of hands-on experience in machine learning engineering or AI solution delivery.
Experience working with Agile (SAFe) teams, iterative delivery cycles, and DevOps practices.
Prior experience with deploying and scaling GenAI or ML-based solutions. Within clinical/pharmaceutical/CRO industries a plus.
Experience working within a clinical regulated industry, and developing CRF Part11 compliant solutions is a plus.
Strong experience with many of the technologies mentioned above under ‘Core Technologies’.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI solutionsLLMsGenAIdeep learningAPIsDashFlaskmachine learning engineeringDevOpsCRF Part11 compliance

Soft Skills

collaborationcommunicationiterative deliveryproblem-solvingadaptability