DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead AI/ML Engineer within our Asset and Wealth management you will be instrumental in the design development and deployment of stateoftheart 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 productionready 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
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- Proven experience in AI/ML engineering with a strong focus on Python development.
- Indepth 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 productionready code.
- Experience with unit testing in Python and familiarity with AI benchmarking techniques.
- Entrepreneurial mindset with a productdriven approach to AI development.
- Strong problemsolving skills and the ability to work independently and collaboratively.
- Excellent communication skills with the ability to convey complex technical concepts to nontechnical stakeholders.
Preferred qualifications capabilities and skills
- Familiarity with cloud platforms
- Experience in AI monitoring tools and methodologies