Senior AI Engineer
Statistics & Data Corporation (SDC) (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 22–38 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy AI/ML models, LLM-based solutions, and agentic workflows to automate clinical data analysis and interpretation.
- Build and maintain AI-driven pipelines and systems for extracting insights from clinical trial datasets, focusing on performance and scalability.
- Collaborate with stakeholders to enhance clinical data processes via AI solutions, mentor engineers/data scientists, and uphold best practices for AI application development.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field.
- Minimum 7 years of relevant experience in software engineering, application development, or data science, including at least 3 years in AI/ML, NLP, or LLM solutions.
- Expertise in Python and AI/ML libraries with strong skills in NLP, LLM integration, and deploying AI systems in production, including experience with Microsoft Azure AI ecosystem.
- Proficient in SQL, handling large structured and unstructured clinical datasets, and experienced with CI/CD, DevOps practices, and software development lifecycle frameworks.
Ideal Candidate Profile
- Senior-level AI Engineer skilled in building AI solutions within regulated, clinical trial or healthcare environments.
- Experienced operating in Agile methodologies and structured SDLC frameworks, capable of translating clinical business requirements into technical AI workflows.
- Capable of mentoring teams, developing proof-of-concepts, managing multiple priorities, and effectively communicating complex AI concepts to diverse stakeholders.