Job Description : Senior / lead Data Scientist
Location : Bangalore / WFH
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 :
Masters / 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.(ref : hirist.tech)