Back
Senior niche ML/GenAI role in Gurgaon with specialized skills; moderate applicant density.
Deep ML/GenAI expertise, LLM/RAG and MLOps requirements limit cross-industry transferability.
Explicit 10+ years and mandatory ML/GenAI, cloud and MLOps skills create strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, deploy, and fine-tune advanced ML and AI models including classical algorithms, deep learning, NLP, Generative AI, and Retrieval-Augmented Generation systems.
Collaborate with data engineers to build scalable data pipelines and implement feature engineering to enhance model performance on large-scale datasets.
Lead and mentor a technical team of data scientists, translate business problems into data science solutions, and communicate insights to stakeholders.
10+ years of experience in data science, machine learning, and AI.
Strong academic background in Computer Science, Statistics, Mathematics, or related field; Master’s or PhD preferred.
Proficiency in Python, SQL, ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face), and experience with NLP and GenAI tools (Azure AI Foundry, GPT, LLaMA, LangChain).
Hands-on experience with Retrieval-Augmented Generation (RAG) systems, vector databases, cloud platforms (preferably Azure), and MLOps tools (MLflow, Airflow, Kubeflow).
Experienced leader capable of managing and mentoring data science teams in a complex, global enterprise environment.
Expert in multiple AI domains including classical ML, deep learning, NLP, and generative AI with demonstrated ability to build scalable, production-grade AI solutions.
Comfortable working cross-functionally with technical and business stakeholders, translating business needs into AI-driven solutions with strong communication and strategic impact.