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Lead Data Scientist
Job Type - Full-Time (Hybrid)
Interview Type- only In Person
Work Location - Noida, UP
Job Description
We're seeking a seasoned Lead Data Scientist to lead NLP/ML research efforts and architect end-to-end solutions. You will be instrumental in driving innovation, mentoring junior team members, and working closely with stakeholders to align AI capabilities with strategic goals.
Key Responsibilities
Lead the development and deployment of production-grade NLP and ML models.
Work with large language models (LLMs), RoBERTa, GPT APIs, and hybrid architectures.
Guide and review the work of junior scientists and interns.
Develop pipelines for training, evaluation, and continuous model monitoring.
Collaborate with cross-functional teams to scope new projects and define success metrics.
Write technical papers, PoCs, and support patentable innovations when applicable.
Required Skills
5+ Years of relevant experience along with prior exposure to team leadership responsibilities.
5+ Years of deep knowledge of modern NLP architectures (transformers, LLMs, embeddings).
Design, build, and deploy Generative AI models (e.g., LLMs, Diffusion Models) into production systems.
Strong understanding of Neural Networks, Transformer models (e.g., BERT, GPT), and deep learning frameworks (e.g., TensorFlow, PyTorch).
Proficiency in Python and ML libraries (e.g., Scikit-learn, Hugging Face, Keras, OpenCV).
Proficiency in data pipelines, MLOps, model versioning, and evaluation frameworks.
Ability to distill complex problems and explain them clearly to technical and non-technical audiences.
Preferred Qualifications
Published work in conferences/journals or experience contributing to open-source projects.
Familiarity with vector databases (Pinecone, FAISS), LangChain, or prompt engineering.
Experience in managing research interns or small AI/ML teams.
Job ID: 152252033
Skills:
AI & Data Analytics, snowflake , Python, React, AWS, Llm
Skills:
Cloud Computing, Machine Learning, Data Visualization, Big Data, Python, Sql, Statistical Analysis, Deep Learning
Skills:
data preparation , Text Analytics, Tensorflow, Deep Learning, Numpy, Nlp, Nltk, Pytorch, Excel, Python, Power Bi, Sql, Pandas, Spark, Databricks, knowledge graphs, pgvector, scikit-learn, vector databases, evaluation frameworks, Streamlit, RAG pipelines, responsible AI practices, SpaCy, LLMs, prompt engineering, Agentic AI, FAISS
Skills:
containerization , Machine Learning, Tensorflow, Nosql, Git, Nlp, Gcp, Pytorch, RDBMS, Azure, Python, Statistical Analysis, AWS, Computer Vision, Azure DevOps, Generative AI, Feature Engineering, scikit-learn, supervised learning, Large Language Models
Skills:
REST, Tensorflow, AWS, Pytorch, Kubernetes, Python, Azure, Docker, Gcp, Apis, ML engineering, feature engineering, GenAI, GRPC, data preprocessing, AI applications, LLM-powered applications