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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro Bangalore, mid-level generalist ML role with broad GenAI/MLOps skillset increases competition.
Core ML, deep learning, and MLOps skills are transferable, but GenAI and enterprise experience favor AI-focused backgrounds.
Explicit 3+ years requirement plus mandatory ML, GenAI, MLOps, and cloud skills enforces strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Develop, train, evaluate, and deploy machine learning models and Generative AI solutions including LLM applications and advanced NLP tasks.
Implement MLOps practices such as model lifecycle management, monitoring, retraining, and CI/CD for ML deployments in production environments.
Analyze large-scale data sets and design AI-driven solutions to support digital transformation and business performance measurement.
Minimum Requirements
Mandatory proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
3+ years of hands-on experience in building production-grade AI/ML solutions, including Generative AI and enterprise AI applications.
Master's degree in Computer Science, AI, ML, Data Science, or related field.
Hybrid work model requiring 2 days per week onsite at an HPE office.
Ideal Candidate Profile
Experienced in deploying scalable and governed AI/ML solutions with expertise in MLOps and production engineering.
Strong knowledge in Generative AI technologies including LLMs, prompt engineering, RAG, and AI agents.
Comfortable working in fast-paced digital transformation environments, contributing to innovation with a focus on delivering measurable business impact.