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Mid-level ML/NLP role in Bangalore with broad skill requirements attracts many qualified applicants.
Core ML, NLP, and MLOps skills are highly transferable across industries.
Multiple mandatory ML/NLP/MLOps skills and an explicit experience band create stringent filtering.
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Develop and own high-level solution architectures involving machine learning models to predict and optimize client business outcomes.
Collaborate with offshore teams and clients to build, deploy, and communicate insights from ML/NLP models, ensuring delivery quality and client relationship management.
Lead technical discussions, mentor junior resources, and identify sales opportunities related to ML projects.
3+ years of hands-on experience in model development, deployment, and operationalization in statistical ML and NLP.
Proficient in Python with class-based coding, SQL for large dataset analytics, and understanding of CI/CD practices.
Strong knowledge of ML concepts including statistical ML regression/classification, NLP (embedding techniques, transformers), and basic MLOps.
Work Experience Required: 3+ years; Location: Bangalore.
Experienced in machine learning within healthcare domain and deploying deep learning solutions including reinforcement learning and AutoML.
Ability to implement and augment cutting-edge ML research and communicate effectively to clients and teams.
Skilled in advanced analytics (logistic regression, cluster analysis, statistical modeling), GenAI chatbot design, vector databases, and agentic AI frameworks.