Experience- 6-10 yrs

Employment Type: Full-time

About the Role

We are seeking a highly skilled Senior /lead Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). The ideal candidate will also have hands-on exposure to Generative AI (GenAI) and the ability to design, implement, and optimize advanced AI-driven solutions for real-world business problems.

This role requires both technical depth and strategic thinking, with an ability to lead projects, collaborate with cross-functional teams, and deliver scalable, impactful AI solutions.

Key Responsibilities

Design, develop, and deploy end-to-end machine learning and AI models for diverse business use cases.Apply advanced deep learning architectures (CNNs, RNNs, Transformers, etc.) for solving complex problems in vision, text, and structured/unstructured data.Develop and fine-tune NLP models for text classification, sentiment analysis, information extraction, conversational AI, and semantic search.Explore and implement Generative AI (LLMs, diffusion models, prompt engineering, fine-tuning, RAG pipelines, etc.) to enhance existing AI/ML capabilities.Collaborate with product, engineering, and business stakeholders to translate requirements into AI-driven solutions.Drive model performance optimization (scalability, latency, explainability, accuracy).Lead and mentor junior data scientists, providing technical guidance and best practices.Stay up to date with emerging AI/ML and GenAI frameworks, tools, and research trends.

Required Skills & Experience

Having 6+ years of experience in Data Science, AI/ML, and related fields.Strong proficiency in Python, R, or similar languages with expertise in data science libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Hugging Face).Proven experience in designing and deploying ML/DL models in production.Deep knowledge of NLP techniques: embeddings, Transformers, BERT/GPT-style models, seq2seq, text generation, entity recognition.Hands-on exposure to Generative AI (e.g., OpenAI, Hugging Face, LangChain, vector databases, RAG, LLM fine-tuning).Strong knowledge of cloud platforms (AWS, Azure, GCP) for ML/AI model deployment.Solid understanding of MLOps practices (model versioning, monitoring, CI/CD pipelines).Strong analytical, problem-solving, and communication skills.Ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

Master’s/PhD in Computer Science, Data Science, AI/ML, Statistics, or a related field.Experience in GenAI enterprise use cases (chatbots, content generation, code generation, knowledge retrieval).Knowledge of big data tools (Spark, Databricks, Hadoop) is a plus.Experience mentoring or leading a small data science team.