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Tier‑1 brand, generalist senior software/ML title, and metro role drive high applicant competition.
High—requires ML/GenAI and cloud backend expertise, less transferable across unrelated industries.
Explicit 7+ years requirement plus mandatory ML, AWS, and backend skills makes filtering strict.
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Lead the design, development, deployment, and maintenance of scalable AI/ML software applications and pipelines integrated into enterprise systems.
Build and manage backend services and APIs on AWS cloud to connect AI components, ensuring secure, scalable, and cloud-native architectures.
Collaborate cross-functionally to troubleshoot, optimize and enhance GenAI and backend system performance while extending AI/ML capabilities to new use cases.
7+ years of experience in software development, AI/ML solution design, backend engineering, or automation with scalable system development.
Proficient in Python and experience with Generative AI/LLM technologies (e.g., OpenAI, Gemini).
Hands-on cloud platform experience, specifically AWS (Lambda, API Gateway, S3, SageMaker etc.) and strong API integration skills.
Functional knowledge of Life Sciences Research & Development domain.
Experienced in integrating AI/ML workflows with backend engineering in cloud-native environments, especially AWS.
Capable of leading complex projects involving cross-functional collaboration with product, engineering, and domain teams.
Skilled at maintaining production-level AI models and backend services with a focus on reliability, scalability, and performance.