Back
Strong Tier-1 brand, mid-level ML generalist role in Bangalore attracts many qualified applicants.
ML skills transferable but requires finance-domain data familiarity and proprietary dataset experience.
Requires explicit 3+ years, production ML experience, Python, LLM orchestration and deployment skills, tightening filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deploy production-grade machine learning systems focused on Generative AI, LLM-powered applications, and AI toolkits like Kensho Link and NERD.
Design and optimize retrieval-driven AI agents that ground LLM outputs in trusted S&P Global data, ensuring data validation and performance efficiency.
Collaborate with cross-functional teams to drive scalability, reliability, and continuous improvement of ML solutions across Kensho’s AI products.
Bachelor's degree in Computer Science, Engineering, or related field.
Minimum 3 years of hands-on industry experience in machine learning, NLP, and information retrieval with production system deployment and maintenance.
Strong proficiency in Python and experience with SQL databases (querying and access pattern understanding).
Experience with ML pipelines covering data processing, training, inference, evaluation, versioning, and experimentation.
Mid-to-senior level ML engineer with experience building end-to-end scalable and reliable ML systems in production environments.
Familiarity with LLM orchestration frameworks such as LangChain and retrieval-augmented generation (RAG) systems.
Comfortable working across data ingestion, model development, deployment, and cross-team collaboration to align ML solutions with business needs.