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.