Data Scientist Lead

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead AI/ML Engineer within our Asset and Wealth management, you will be instrumental in the design, development, and deployment of state-of-the-art AI solutions. Your role will involve collaborating with various teams to create AI applications tailored to specific product requirements, with a focus on natural language processing, information extraction, information retrieval, large language models, and both supervised and unsupervised machine learning techniques. Your expertise in Python and familiarity with the latest AI technologies will be crucial in steering our projects towards success.

This role is in our Bangalore, India technology center.

Job responsibilities

• Lead the design and implementation of AI/ML models, with a focus on natural language processing, information extraction, information retrieval, large language models, and both supervised and unsupervised machine learning techniques.
• Develop and maintain production-ready code, ensuring high quality through unit testing and code reviews.
• Collaborate with product managers and stakeholders to align AI solutions with business objectives and product goals.
• Stay abreast of the latest advancements in AI/ML technologies, including large language models and machine learning techniques, and integrate relevant innovations into our projects.
• Benchmark AI systems, including large language models, to ensure optimal performance and scalability.
• Mentor and guide junior engineers, fostering a collaborative and inclusive team environment.
• Drive the AI development lifecycle from ideation to deployment, ensuring timely and successful project delivery.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in AI/ML engineering, with a strong focus on Python development.
• In-depth knowledge of natural language processing, large language models, supervised and unsupervised machine learning, and the AI development lifecycle.
• Demonstrated ability to write clean, efficient, and production-ready code.
• Experience with unit testing in Python and familiarity with AI benchmarking techniques.
• Entrepreneurial mindset with a product-driven approach to AI development.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred qualifications, capabilities, and skills

• Familiarity with cloud platforms 
• Experience in AI monitoring tools and methodologies