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Tier-1 employer, metro Hyderabad location, and visible mid-level ML role increase applicant competition.
Core ML, MLOps, and generative AI skills transfer across industries despite pharma-specific domain knowledge.
Explicit 6+ years, mandatory ML frameworks, MLOps, and generative AI skills increase screening strictness.
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Develop and deliver AI-powered and machine learning solutions to accelerate medicine availability and advance business objectives.
Collaborate with business and IT teams to operationalize AI solutions and drive competitive advantages.
Serve as a subject matter expert in foundation models and communicate AI insights and impact to stakeholders across the organization.
University degree plus 6+ years of experience in data & analytics or relevant domain.
Proficiency in Python programming and ML frameworks such as PyTorch or TensorFlow, including generative AI, deep learning model fine-tuning, prompt engineering, and vector databases.
Experience with cloud platforms (AWS, GCP, or Azure) and familiarity with MLOps principles and model lifecycle management.
Work Experience Required: Minimum 6+ years of relevant experience explicitly stated.
Strong expertise in developing and deploying generative AI solutions including LLM-based implementations and operating advanced ML pipelines.
Ability to lead AI initiatives and provide strategic recommendations on complex technical problems and data-driven business impacts.
Experienced in communicating complex technical insights to both technical and non-technical stakeholders, enabling widespread AI adoption and cultural change within an enterprise environment.