Lead - Data Scientist

Job Profile :

1) AI & Machine Learning

a) Design, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems.

b) Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn.

c) Stay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed.

d) Partner with cross-functional teams to identify AI use cases and deliver measurable business value.

2) Data Science & Analytics

a) Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product development.

b) Collaborate with data engineers and analysts to build impactful solutions that drive business outcomes.

3) Leadership & Strategy

a) Mentor and guide junior team members, fostering their professional growth.

b) Contribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting.

4) Cloud Architecture & Engineering

a) Architect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure.

b) Optimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or Azure ML.

c) Ensure scalable, secure, and cost-efficient architectures with robust CI/CD pipelines in cloud environments.