Senior/Lead Data Scientist - Machine Learning/Deep Learning

We are seeking a Senior / Lead Data Scientist with hands-on experience in ML/DL, NLP, GenAI, LLMs, and Azure Databricks to lead strategic data initiatives.

In this role, you'll lead end-to-end project execution, work on advanced AI/ML models, and guide junior team members.

Your expertise will help align data-driven solutions with business goals and deliver real impact.

Key Responsibilities :

- Collect, clean, and validate large volumes of structured and unstructured data

- Design, develop, and implement ML/DL models, NLP solutions, and LLM-based applications

- Leverage Generative AI techniques to drive innovation in product development

- Lead Azure Databricks-based workflows and scalable model deployment pipelines

- Interpret data, analyze results, and present actionable insights to stakeholders

- Own the delivery of full data science project lifecycles from problem scoping to production deployment

- Collaborate cross-functionally with engineering, product, and business teams

- Create effective visualizations, dashboards, and reports

- Conduct experiments, research new techniques, and continuously enhance model performance

- Ensure alignment of data initiatives with organizational strategy and KPIs

- Mentor junior data scientists and contribute to team growth and performance

Required Skills & Qualifications :

- 6+ years of hands-on experience in Data Science or Machine Learning roles

- Strong command over Python (R/MATLAB is a plus)

- Hands-on experience with NLP, Chatbots, GenAI, LLMs (e.g., GPT, LLaMA)

- Proficient in Azure Databricks (Mandatory)

- Experience with both SQL and NoSQL databases

- Solid grasp of statistical modeling, data mining, and predictive analytics

- Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn)

- Experience in deploying ML models in production environments

- Bachelors or Masters degree in Computer Science, Mathematics, Data Science, or related field

Nice to Have :

- Experience in RPA tools, MLOps, or AI product development

- Exposure to cloud platforms (Azure preferred; AWS/GCP is a bonus)

- Familiarity with version control and CI/CD practices