Senior Data Scientist

Job Description

Position: Senior Data Scientist

Job Summary

We are seeking an experienced and highly motivated **Senior Data Scientist** to lead the design, development, and deployment of advanced AI and Machine Learning solutions. The ideal candidate should possess strong expertise in **Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Generative AI**, along with hands-on experience in building scalable AI systems using modern frameworks and cloud technologies.

This role requires both strong technical leadership and people management skills. The candidate will lead a team of data scientists and machine learning engineers, collaborate with cross-functional stakeholders, and drive AI initiatives from ideation to production.

Key Responsibilities

* Lead the design, development, and deployment of Machine Learning, Deep Learning, NLP, and Generative AI solutions.

* Architect end-to-end AI pipelines, from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.

* Develop production-ready AI systems with a focus on scalability, reliability, and performance.

* Lead the implementation of Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation solutions.

* Mentor and guide junior data scientists and machine learning engineers through code reviews, technical discussions, and knowledge-sharing sessions.

* Manage and lead a team, including task planning, work allocation, performance monitoring, and career development.

* Collaborate with business stakeholders to translate business challenges into AI-driven solutions.

* Drive experimentation, feature engineering, model optimization, and performance tuning.

* Ensure best practices in model governance, reproducibility, versioning, and MLOps.

* Stay current with advancements in AI, LLMs, NLP, and Generative AI technologies.

Required Technical Skills

* Strong expertise in Machine Learning and predictive analytics.

* Hands-on experience in Deep Learning model development and deployment.

* Strong understanding of Natural Language Processing (NLP) techniques and applications.

* Experience building Generative AI solutions using Large Language Models (LLMs).

* Proficiency in Python and AI/ML development frameworks.

* Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

* Familiarity with Git, CI/CD pipelines, and code quality tools.

* Experience with Docker and containerized application deployment.

* Strong leadership experience in mentoring teams and delivering enterprise-scale AI/ML projects.