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Popular mid-level ML role in Bangalore with broad skill requirements and medium-known employer.
Strong ML/NLP focus is transferable, but client-facing and healthcare-desired experience increases domain specificity.
Explicit 3+ years requirement plus mandatory ML, NLP, MLOps, and GenAI technical skills.
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Lead development of high-level ML solution architectures and collaborate with offshore big-data and analytics teams to build, test, and assess predictive models aligned with client success metrics.
Communicate sophisticated ML insights and interpretations to clients, translating outcomes into quantifiable business impact.
Mentor junior team members and drive technical discussions and delivery coordination with clients and offshore delivery managers.
3+ years of hands-on experience in model development, deployment, and operationalization in statistical ML and NLP.
Proficiency in Python (class-based coding), SQL for large datasets, and knowledge of ML concepts including statistical ML, deep learning, NLP (transformers, embeddings), and MLOps basics.
Experience with ML frameworks, CI/CD practices, cloud-based web services, and designing GenAI chatbots and vector databases.
Work Location: Bangalore.
Skilled at turning complex research into production-ready ML solutions and communicating effectively with clients and teams, demonstrating ownership of delivery and risk management.
Experienced in healthcare domain ML projects or willing to deep-dive into healthcare-related applications, indicating domain bias.
Demonstrates strong analytical rigor and contributes to raising team effectiveness through mentorship and high technical communication skills.