Lead Data Scientist

Job Location: Bangalore or Pune

We are seeking a highly skilled Lead Data Scientist with expertise in Large Language Models (LLM), Cognitive AI, and Machine Learning to drive innovation in AI-driven solutions. The ideal candidate will have strong Python programming skills and a deep understanding of TensorFlow, PyTorch, NLP, and deep learning frameworks. You will work on cutting-edge AI/ML projects, leveraging generative AI and cognitive computing to build intelligent models that enhance business decision-making, with a strong focus on abuse detection, fraud prevention, and risk management

Key Responsibilities:

• Develop and fine-tune Large Language Models (LLMs) to improve natural language understanding, text generation, and conversational AI.
• Design and implement cognitive AI models that enhance machine-human interactions and decision automation.
• Build fraud detection and abuse management models using advanced AI/ML techniques to identify anomalies, behavioral patterns, and security threats.
• Work with deep learning frameworks like TensorFlow, PyTorch, and Keras to build and optimize AI models.
• Utilize NLP techniques (tokenization, named entity recognition, sentiment analysis, text summarization) for unstructured data processing.
• Perform statistical analysis and hypothesis testing to drive data-driven insights.
• Use Numpy, Pandas, Scikit-learn for data preprocessing, feature engineering, and model evaluation.
• Deploy AI/ML models using MLOps, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Work with big data technologies such as Spark,Dask, and Hadoop for large-scale data processing.
• Collaborate with cross-functional teams (engineering,product, and business teams) to integrate AI models into applications.
• Stay updated with the latest advancements in AI, cognitive computing, fraud detection, and generative models to enhance AI capabilities.

Must-Have Skills:

• Programming: Python (Numpy, Pandas, Scikit-learn), SQL
• AI/ML Frameworks: TensorFlow, PyTorch, Keras
• Natural Language Processing (NLP): NLTK, SpaCy, Transformers, Hugging Face
• Cognitive AI & LLMs: OpenAI GPT, BERT, LLaMA, Bloom, LangChain
• Abuse & Fraud Detection: Anomaly detection, behavioral analytics, risk scoring models
• Big Data & Cloud: Spark, Hadoop, AWS/GCP/Azure
• MLOps & Deployment: Docker, Kubernetes, CI/CD pipelines
• Mathematical & Statistical Skills: Probability, Linear Algebra, Optimization
• Deep Learning & Neural Networks: CNN, RNN, Transformers, GANs

Good-to-Have Skills:

• Experience with vector databases (FAISS, Pinecone, Weaviate) for AI search and retrieval.
• Hands-on experience with AutoML tools like H2O.ai, Google AutoML, or DataRobot.
• Familiarity with reinforcement learning and multi-agent systems.
• Exposure to AI ethics, model interpretability, and explainable AI (XAI).
• Knowledge of Graph Neural Networks (GNNs) and Knowledge Graphs.

Education & Experience:

• Bachelor's/Masters degree in Computer Science, Data Science, AI/ML, Mathematics, or a related field.
• 4-7 years of hands-on experience in AI/ML, cognitive computing, and NLP.

Why Join Us?

• Work on cutting-edge AI projects with a team of experts.
• Opportunity to develop and deploy generative AI models for real-world applications.

If you're passionate about cognitive AI, Abuse Management, LLMs, fraud detection, and data science, apply now!