AI/ML Engineer

Overview

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team pioneers the future of data‑driven decision‑making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you’ll work with cutting‑edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We foster a culture of continuous learning and growth, ensuring team members thrive in a dynamic and supportive environment.

Responsibilities

• Develop data preparation tasks, identify patterns or anomalies, and ensure data readiness for advanced modeling.
• Design, build, evaluate, and deploy models for complex use cases (e.g., forecasting, LLM‑based solutions) and refine algorithms to meet business needs.
• Conduct testing, optimize algorithms for performance, reliability, and scalability, and guide team members on best practices.
• Design and develop predictive models and data‑driven analyses to address business challenges; standardize code and contribute to knowledge management.
• Leverage SAS, R, and Python to create reusable customizations for non‑ML, ML, and deep‑learning algorithms, enhancing analytics including LLMs.
• Define analytics problems, execute visualization, analysis, and predictive modeling under guidance.
• Proactively maintain and improve models 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 and participate in knowledge‑transfer sessions.
• Engage with stakeholders to refine requirements, provide insights, and guide implementation of models.
• Apply the predefined quality measurement framework at the individual task level.
• 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.
• Produce thought‑leadership content such as papers, innovative non‑ML/ML/deep‑learning/LLM models, and proofs of concept.
• Deliver analytics training and contribute to content creation.
• Provide input for segment and unit‑level business plans.

Required Skills and Experience

• Design, develop, train, evaluate, and deploy Machine Learning and Generative AI models.
• Build and optimize AI/ML pipelines for data preparation, feature engineering, model training, and inference.
• Develop and maintain MLOps frameworks for model versioning, deployment, monitoring, and lifecycle management.
• Implement and deploy Large Language Model (LLM) and Generative AI solutions using modern AI frameworks.
• Strong proficiency in Python and AI/ML development frameworks.
• Hands‑on experience with machine‑learning algorithms, model training, and evaluation techniques.
• Experience building and deploying Generative AI solutions using LLMs, RAG, prompt engineering, and vector databases.
• Strong understanding of MLOps concepts, model lifecycle management, CI/CD, and model monitoring.
• Experience with cloud‑based AI/ML platforms and deployment environments.
• Knowledge of API development, containerization, and scalable AI application architectures.
• Strong analytical, problem‑solving, and debugging skills.

Preferred Skills and Experience

• Experience with LangChain, LlamaIndex, OpenAI, Azure OpenAI, or similar Generative AI frameworks.
• Experience with MLflow, Kubeflow, Azure ML, SageMaker, or equivalent MLOps tools.
• Knowledge of Docker, Kubernetes, and cloud‑native deployment patterns.
• Experience with distributed processing frameworks and vector databases.
• Experience in AI governance, responsible AI, and model observability.

Qualifications

• Bachelor’s degree or foreign equivalent from an accredited institution (or three years of progressive experience in lieu of each year of education).
• Authorization to work in the United States without employer‑based visa sponsorship.
• Willingness to relocate and/or travel to project locations as required.
• Infosys does not provide immigration sponsorship for this role now or in the future.

Benefits

• Medical, dental, vision, and life insurance.
• Long‑term and short‑term disability coverage.
• Health and dependent‑care reimbursement accounts.
• Accident, critical illness, hospital indemnity, and legal insurance.
• 401(k) plan with contributions dependent on salary level.
• Paid holidays plus paid time off.
• Competitive base pay.

About Us

Infosys is a global leader in next‑generation digital services and consulting, enabling clients in more than 50 countries to navigate digital transformation. With over four decades of experience managing the systems and workings of global enterprises, Infosys steers clients through their digital journey by providing an AI‑powered core, agile digital at scale, and continuous learning through its innovation ecosystem.