As a Gen AI Developer, you will be at the forefront of building and deploying cutting-edge Generative AI solutions that transform data into actionable insights. Your day-to-day will involve designing, developing, and implementing AI models, integrating them into existing systems, and optimizing their performance. You will collaborate closely with data scientists, engineers, and product managers to understand business requirements and translate them into innovative AI-powered applications. This role directly impacts our ability to deliver intelligent solutions to our clients, improving their decision-making processes and driving significant business outcomes.

Key Responsibilities:

- Design and develop Generative AI models using state-of-the-art techniques and tools, ensuring alignment with business objectives and technical feasibility.

- Implement and deploy AI models into production environments, creating scalable and robust solutions that meet performance and reliability requirements.

- Integrate Generative AI models with existing data pipelines and systems, enabling seamless data flow and efficient model execution for internal and external stakeholders.

- Optimize the performance of AI models through continuous monitoring, evaluation, and refinement, ensuring accuracy, efficiency, and cost-effectiveness for our clients.

- Collaborate with cross-functional teams to define project scope, deliverables, and timelines, ensuring successful project execution and stakeholder satisfaction.

- Research and evaluate new Generative AI technologies and techniques, identifying opportunities to improve our AI capabilities and drive innovation for the organization.

Required Skillset:

- Hands-on experience in building and deploying AI/ML models including Generative AI, LangChain and NLP

- In-depth knowledge of machine learning algorithms, software architecture, libraries and frameworks to create AI that accomplishes outlined goals

- Rigorous knowledge of Python programming to develop software. Java is a plus.

- Skillful in developing and maintaining detailed, easy-to-read documentation including data dictionaries, model documentation, and code documentation

- Experience in integrating AI/ML into existing applications in batch and real-time

- Effective verbal and written communication skills to collaborate within and outside the team

- Ability to write and understand complex SQL(Hive/PySpark-dataframes) and optimize data pipelines. Experience with NoSQL is a plus

- Experience in Big Data ecosystem & Cloud technologies is nice to have

- Experience with GitHub and leveraging CI/CD pipelines

- Experience in taking models through AI/ML governance in highly regulated industry is a plus