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Strong Tier-1 brand and Bengaluru metro increase competition, while senior specialization limits applicant pool.
Core ML engineering skills are transferable, but pharma regulatory validation and compliance increase domain specificity.
Explicit 8/10+ year requirements plus mandatory ML, cloud, and compliance skills create strict shortlisting filters.
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Lead design, development, and deployment of advanced AI/ML models including predictive analytics, NLP, recommendation systems, and GenAI use cases to support strategic decision-making and operational efficiency.
Design and maintain data pipelines and system integration using cloud (AWS, Azure, GCP) and lakehouse architectures; implement automation and DevOps practices like CI/CD for model deployment and monitoring.
Mentor junior and senior AI/ML engineers, author validation documentation for regulatory compliance, and lead innovation initiatives and prototypes within enterprise global services.
Master's degree in Computer Science, Data Science, or Engineering with 8+ years of hands-on design, development, and deployment experience OR Bachelor's degree with 10+ years including domain expertise in AI/ML engineering.
Experience with AI/ML model development, including GenAI and NLP, and strong programming skills in Python, R, Java with frameworks like TensorFlow, PyTorch, Scikit-learn.
Proficiency in cloud platforms AWS, Azure, or GCP and data lakehouse architecture.
Work location: Hybrid work schedule in Bengaluru, India.
Experienced in leading complex AI/ML projects integrating multiple technologies and regulatory compliance within large-scale enterprise environments.
Strong communicator capable of translating complex technical concepts to non-technical stakeholders and advocating data-driven decision-making.
Proven ability to innovate and drive process improvements while mentoring diverse global teams in AI/ML engineering functions.