#Hiring an experienced AI Data Scientist with strong expertise in Applied AI, Generative AI, LLMs and Multi-Agent Architectures!
AI Data Scientist | Gurugram | 5-10 Y | Hybrid – 3 Days Work from Client Office
Notice Period: Immediate Joiners Only |
Key Technical Skills (Mandatory):
Robust Python programming – Pandas, NumPy, Scikit-learn and SQL
Machine Learning, Statistical Modelling and Experimental Design
Deep Learning – PyTorch / TensorFlow
Generative AI, LLMs, Transformers and Embeddings
Comprehensive proficiency in LangChain, LangGraph and modern Multi-Agent Architectures
RAG pipelines, AI Agents and Prompt Engineering
MLOps – MLflow, Kubeflow, Model Deployment and Monitoring
Cloud platforms – AWS / Azure / GCP
Key Responsibilities:
Design and develop statistical, ML and deep learning models.
Build and fine-tune LLM-based applications and Generative AI solutions.
Develop and deploy intelligent AI Agents for complex decision-making workflows.
Own the complete ML lifecycle – data preparation,
feature engineering, training, evaluation and deployment.
Conduct A/B testing, experimentation and exploratory data analysis.
Collaborate with engineering, product and business teams to deliver production-ready AI solutions.
Drive responsible, explainable and scalable AI practices.
Valuable to Have:
Experience with Spark, Databricks or Snowflake.
Hands-on experience with OpenAI, Anthropic or Hugging Face.
Research publications, patents or open-source AI contributions.
Domain experience in FinTech, Healthcare or E-commerce.
Ideal Candidate: A hands-on AI professional who combines classical Data Science expertise with modern GenAI, LLMs and advanced Multi-Agent AI development.