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IT & Systems

Job Code

1531444

As a seasoned Lead Data Scientist, you will join our team in Kolkata and play a pivotal role in driving the development and implementation of advanced data and AI solutions.

Responsibilities:

- Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM, and vector databases to drive innovation and business impact.

- Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies.

- Collaborate with cross-functional teams to identify and prioritize AI opportunities, aligning with business objectives and operational needs.

- Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment.

- Stay abreast of the latest advancements in gen-AI and data science, evaluating emerging technologies and best practices to enhance our AI capabilities.

- Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization.

- Lead and contribute to AI research initiatives, publishing findings and representing the organization in industry forums and events.

- Oversee the design and optimization of gen-AI algorithms, models, and frameworks, ensuring robustness, efficiency, and accuracy.

- Champion the adoption of AI ethics and governance principles, embedding responsible AI practices into our solutions and processes.

- Cultivate a collaborative and inclusive work environment, promoting knowledge sharing and cross-team collaboration to achieve AI excellence.

Requirements:

- Proven experience as a Data Scientist for minimum 5 years.

- Solid understanding of machine learning.

- Knowledge of data management and visualization techniques.

- Good knowledge of R, Python and MATLAB

- Experience with SQL and NoSQL databases

- Strong project management skills and proven ability working in cross-functional teams and mentoring talent.

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