Associate Director - Data Science Domain (9-20 yrs)

Job Description :

We are seeking a highly skilled Director of Data Science to lead the development, deployment, and production of ML/AI models and data platforms.

- Lead the design and implementation of scalable AI projects. Come up with architecture that support large-scale model deployment, automation of ML workflows, and real-time data processing using cloud-native technologies (AWS, Azure, GCP).

- Spearhead the development and implementation of Generative AI solutions for diverse applications such as text to query, search and summarization, chatbot, autonomous agents

- Serve as a technical advisor to clients, guiding them on best practices in architecture, platform selection, and the end-to-end deployment of ML/AI solutions.

- Oversee the transition of models from proof-of-concept to production environments, ensuring performance, scalability, and maintainability.

- Work closely with product, engineering, and business teams to ensure alignment between data-driven strategies and overall business goals. Collaborate with data engineers and IT teams to ensure robust data pipelines and infrastructure.

- Ensure data governance, privacy, and compliance requirements are adhered to throughout model deployment and operation.

- The person should be driven by a strong desire to continuously learn and to mentor the team, fostering their growth and the growth of Data Science practice.

What do we expect?

- 9+ years in Data Science, AI, and ML, with a strong focus on production-scale environments and AI/ML platform development with recent experience in Generative AI technologies

- Strong analytical skills with proficiency in the application of statistical analysis and machine learning algorithms like Linear Regression, Logistic Regression, Random Forest, Boosting Trees, SVM, ARIMAX, LSTM, Deep Learning etc.

- Strong experience in AI/ML frameworks (TensorFlow, PyTorch, Keras), MLOps practices, and automation tools for continuous model deployment and monitoring.

- Proficient in big data technologies (Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and modern data architectures (data lakes, data warehouses).

- Programming proficiency in Python, R, and experience with containerization technologies (Docker, Kubernetes).

- Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables.

- Experience solving high business value problems using AI for Retail/CPG/BFSI/Pharma