Gen AI Engineer

Infosys is a global leader in next-generation digital services and consulting, and they are seeking a Gen AI Engineer to be part of their AI-first suite of services. The role involves developing and deploying advanced models for complex use cases, ensuring data readiness, and contributing to transformative projects that leverage generative AI technologies.

Responsibilities:

• Develop data preparation tasks, while identifying patterns or anomalies
• Ensure data readiness for advanced modeling
• Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions
• Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices
• Design and develop predictive models and data-driven analyses to address business challenges
• Build, evaluate, and deploy models, standardize code, and contribute to knowledge management
• Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions
• Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance
• Proactively maintain models and implement improvements for accuracy and reliability
• Apply governance controls to mitigate risks and ensure compliance
• Analyze performance trends, recommend improvements, and document discrepancies for escalation
• Maintain comprehensive documentation standards, while participating in knowledge transfer sessions
• Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models
• Apply the predefined quality measurement framework at an individual task level in the project
• Deploy complex analytics tools or multi-system integration, while validating deployment success
• Participate in developing scripts or templates for repeated deployments tasks
• Contribute to analytic solutions, IP asset creation, and training initiatives
• Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts
• Participate in and deliver analytics training, while contributing to content creation
• Provide input for segment and unit-level business plans