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.
Job Types: Full-time, Permanent
Pay: ?800,000.00 - ?1,500,000.00 per year
Benefits:
Provident Fund
Schedule:
Day shift
Monday to Friday
Experience:
Data science: 4 years (Preferred)
Work Location: In person
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