Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : Snowflake Data Warehouse, Databricks Unified Data Analytics Platform, AWS AI Services
Minimum
7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based services. The role requires integrating generative AI models into solutions, ensuring that applications are production-ready whether deployed on cloud platforms or on-premises. Daily activities may include working on deep learning frameworks, developing neural network architectures, creating intelligent chatbots, and implementing image processing techniques. Collaboration with cross-functional teams to align AI capabilities with business needs and maintaining high-quality pipelines for seamless deployment are also key aspects of the role.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI-driven solutions ensuring scalability and robustness.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate with stakeholders to align technical strategies with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Experience with Databricks Unified Data Analytics Platform, Snowflake Data Warehouse, AWS AI Services.
- Strong understanding of natural language processing techniques and transformer architectures.
- Experience in developing and deploying AI models in cloud environments.
- Familiarity with deep learning frameworks and neural network design.
- Ability to optimize AI pipelines for performance and scalability.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
