AI / ML Engineer

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 : Snowflake Data Warehouse

Good to have skills : NA

Minimum 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 various AI models, including generative AI, into scalable and production-ready pipelines, whether deployed on cloud platforms or on-premises environments. The engineer collaborates closely with cross-functional teams to ensure seamless implementation of solutions that may encompass deep learning, neural networks, conversational agents, and image analysis. This position demands continuous innovation and adaptation to emerging AI techniques to deliver robust and efficient systems.

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 development and deployment of AI-driven applications ensuring alignment with project goals.
• Facilitate knowledge sharing and mentorship within the team to foster professional growth.
• Coordinate with stakeholders to gather requirements and translate them into technical solutions.
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Snowflake Data Warehouse.
• Experience in designing and optimizing data storage and retrieval processes within cloud data platforms.
• Strong understanding of data integration techniques and pipeline orchestration.
• Ability to work with large-scale datasets and ensure data quality and consistency.
• Familiarity with cloud infrastructure and security best practices related to data warehousing.
• Competence in performance tuning and cost optimization for data warehouse environments.
  
  

Additional Information:

• The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.
• This position is based at our CDC2A - SEZ office.
• A 15 years full time education is required.