Sr /lead Data Scientist

This is a remote position.

Job Description: Senior/lead Data Scientist

Location: Bangalore/WFH

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 [link removed] 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 [link removed] advanced deep learning architectures (CNNs, RNNs, Transformers, etc.) for solving complex problems in vision, text, and structured/unstructured [link removed] and fine-tune NLP models for text classification, sentiment analysis, information extraction, conversational AI, and semantic [link removed] and implement Generative AI (LLMs, diffusion models, prompt engineering, fine-tuning, RAG pipelines, etc.) to enhance existing AI/ML [link removed] with product, engineering, and business stakeholders to translate requirements into AI-driven [link removed] model performance optimization (scalability, latency, explainability, accuracy).Lead and mentor junior data scientists, providing technical guidance and best [link removed] 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 [link removed] 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 [link removed] knowledge of NLP techniques: embeddings, Transformers, BERT/GPT-style models, seq2seq, text generation, entity [link removed]-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 [link removed] understanding of MLOps practices (model versioning, monitoring, CI/CD pipelines).Strong analytical, problem-solving, and communication [link removed] to work in a fast-paced, collaborative environment.

Preferred Qualifications

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

Originally posted on Himalayas