Gen/Agentic AI Engineer

About the role

The Infosys Data and Analytics (DNA) unit specializes in transforming data into actionable insights through advanced AI and analytics, driving business growth and operational efficiency. As a Data Science Consultant 2, you will contribute to pioneering data-driven decision-making, collaborating with industry experts on transformative projects that shape the future of business. The role emphasizes continuous learning, innovation, and the application of cutting-edge technologies to address complex business challenges.

Responsibilities

• Develop data preparation tasks, identifying patterns or anomalies, and ensuring data readiness for advanced modeling.
• Develop models for complex use cases, such as forecasting models and LLM-based solutions, refining algorithms to meet business needs.
• Ensure smooth deployment of models into scalable, production-ready solutions; conduct testing and optimize algorithms for performance, reliability, and scalability.
• Provide guidance to team members on best practices in model development and deployment.
• 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, including LLMs.
• 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 and recommend improvements.
• Document discrepancies for escalation and maintain comprehensive documentation standards.
• Participate in knowledge transfer sessions and discussions with stakeholders to refine requirements and guide implementation.
• Apply predefined quality measurement frameworks at an individual task level in the project.
• Deploy complex analytics tools or multi-system integrations and validate deployment success.
• Develop scripts or templates for repeated deployment tasks.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership through papers, innovative models (non-ML, ML, deep learning, or LLM), and proofs of concept.
• Participate in and deliver analytics training, including content creation.
• Provide input for segment and unit-level business plans.

Your Contribution to the Team

• Deliver scalable, high-quality analytics solutions aligned to business needs.
• Demonstrate a knack for optimization, deployment, and performance improvement of models.
• Drive innovation through advanced analytics, automation, and thought leadership.
• Enable team growth through knowledge sharing, training, and standardization.
• Support business planning with data-driven insights.

Required Skills and Experience

• Hands-on experience with at least one major machine learning framework (PyTorch, TensorFlow, Keras).
• Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA).
• Exposure to RAG systems and basic knowledge of hybrid search techniques.
• Understanding of model deployment and containerization (Docker).
• Proficiency in Python for AI development, data preprocessing, and scripting.
• Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.
• Understanding of version control systems (Git).
• Awareness of AI compliance, data privacy, and responsible AI principles.

Preferred Skills and Experience

• Experience in Big Data technologies (e.g., BigQuery, Hadoop), ML model development, data engineering, and software engineering principles.
• Knowledge of MLOps and AI/ML deployment (e.g., SageMaker, Snowflake).
• Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts.

Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution.
• Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.

Benefits

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off