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Mid-level ML role, metro Gurgaon, generalist skillset and 2–3 year band increases candidate competition.
Core ML/AI skills transferable across industries; low industry-specific dependence.
Explicit 2–3 year requirement and many mandatory ML/LLM, cloud, Databricks, and tooling skills tighten filters.
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Develop, train, deploy, and optimize ML, Computer Vision, Deep Learning, and Generative AI models for enterprise applications including LLMs, RAG, and AI Agents.
Build AI workflows and integrate AI capabilities into production applications using cloud platforms like Microsoft Azure and Databricks.
Collaborate with AI engineers, software developers, and business teams to improve AI-powered products and monitor model performance continuously.
2-3 years of work experience in Machine Learning or related roles.
Proficient in Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow or PyTorch).
Experience with Generative AI techniques (LLMs, prompt engineering, RAG) and AI orchestration frameworks (e.g., LangChain).
Willingness to work fully on-site in Gurgaon, India; Familiarity with deployment on Microsoft Azure and Databricks environments.
Experienced in deploying scalable AI/ML solutions integrating REST APIs and containerization (Docker).
Comfortable working with vector databases and embedding-based retrieval systems like ChromaDB or Qdrant.
Has practical exposure to Agile development and cloud-based ML workflows, with demonstrated analytical and problem-solving skills in AI projects.