AI Data Scientist

1 week ago

Gurgaon, Haryana, India Kezan Consulting Full time ₹ 1,04,000 - ₹ 1,30,878 per year

***ONLY FOR IMMEDIATE JOINERS***

Role: AI Data Scientist

Location: Gurugram / Bangalore

Experience: 4+ Years

Job Summary:

Seeking an experienced AI/Data Scientist with 4+ years in building ML/DL solutions and deploying LLM-integrated systems. The role requires strong Python skills and a solid foundation in traditional ML, deep learning, and modern AI architectures including RAG, vector databases, and prompt engineering.

Key Responsibilities:

  • Data preprocessing, feature engineering, and model development using Python (Pandas, NumPy)
  • Build and optimize machine learning models (supervised/unsupervised, regularization, decision trees, random forests)
  • Design and train deep learning models (neural networks, CNNs) using backpropagation and advanced activation functions
  • Evaluate models using appropriate metrics (accuracy, precision, recall, F1, ROC-AUC)
  • Communicate AI/ML project insights and results effectively across teams
  • Develop LLM-based applications using Retrieval-Augmented Generation (RAG) and vector databases
  • Implement agentic AI systems and advanced prompt engineering for task automation
  • Fine-tune LLMs and manage context windows for efficient large-scale inference

Key Skills:

  • Python (Pandas, NumPy) for scalable data analysis and manipulation
  • Data Preprocessing & Feature Engineering for model optimization
  • Machine Learning: Supervised/Unsupervised learning, regularization, decision trees, random forests
  • Deep Learning: Neural networks, CNNs, backpropagation, activation functions
  • Model Evaluation & Metrics: Performance tuning using standard ML metrics
  • AI/ML Project Articulation: Clear communication of technical outcomes to cross-functional teams
  • Retrieval-Augmented Generation (RAG) & Vector Databases for contextual LLM integration
  • Agentic AI & Prompt Engineering to design dynamic, intelligent workflows
  • LLM Processing: Managing context windows, fine-tuning, and task-specific adaptation

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