AI/ML Engineer

Infosys Limited; Austin, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Disability Insurance

401(k) plan

Health & Dependent Care Accounts

Job summary

Infosys DNA invites applications for a Data Science Consultant 2 to drive scalable analytics and AI-driven solutions across business units in the U.S. You will lead technically, mentor engineers, and deliver production-ready models leveraging MLflow, Kubeflow, SageMaker, and cloud platforms.

You will collaborate with data scientists and engineers to operationalize models, implement governance, and contribute to IP assets, with opportunities for thought leadership and ongoing training.

Qualifications

• Experience in AI/ML, data engineering, data science, or cloud engineering.
• Leadership or supervisory experience leading technical teams.
• Strong proficiency in Python and ML development frameworks.
• Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Azure ML.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Strong understanding of data engineering concepts, ETL/ELT pipelines, and large-scale data processing.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Excellent problem-solving, communication, and stakeholder management skills.
• Design, develop, and deploy scalable machine learning and AI solutions for business-critical applications.
• Lead a team of AI/ML engineers and provide technical guidance, mentoring, and code reviews.
• Build and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Collaborate with Data Scientists and Data Engineers to operationalize ML models into production environments

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).
• Refine algorithms to meet business needs and deploy into production-ready solutions.
• Conduct testing and optimize algorithms for performance, reliability, and scalability.
• 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 SAS and R/Python to create reusable customizations for ML algorithms, including LLMs.
• Define analytics problems; 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, document discrepancies for escalation.
• Maintain documentation standards, participate in knowledge transfer sessions.
• Discuss with stakeholders to refine requirements and guide model implementation.
• Apply the predefined quality measurement framework at task level.
• Deploy analytics tools or multi-system integration; validate deployment success.
• Develop scripts/templates for repeated deployments.
• Contribute to analytic solutions, IP asset creation, and training initiatives.
• Contribute to thought leadership and proofs of concepts.
• Deliver analytics training and content creation.
• Provide input for segment and unit-level business plans.

Skills

Python

ML Frameworks

MLOps

Cloud Platforms

Data Engineering

Docker/Kubernetes

Leadership

Stakeholder Mgmt

Education

Bachelor's degree

Tools

MLflow

Kubeflow

SageMaker

Azure ML

Job description

State / Region / Province

Connecticut, Indiana, North Carolina, Texas

Country

USA

Domain

Delivery

Interest Group

Company

ITL USA

Requisition ID

152969BR

Technical Skills 1

Technical Skills 2

Technology|Generative AI|Generative AI for Data Analytics

Technical Skills 3

Technology|DevOps|Continuous integration - Others

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 is dedicated to pioneering 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 have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel.

In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below:

• 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.

Your contribution to the team:

• Deliver scalable, high-quality analytics solutions aligned to business needs.
• A knack for optimization, deployment and performance improvement of models.
• The ability to 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 Skill and Experience

• Experience in AI/ML, Data Engineering, Data Science, or Cloud Engineering.
• Leadership or supervisory experience leading technical teams.
• Strong proficiency in Python and machine learning development frameworks.
• Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Azure ML, or similar platforms.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Strong understanding of data engineering concepts, ETL/ELT pipelines, and large-scale data processing.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Excellent problem-solving, communication, and stakeholder management skills.
• Design, develop, and deploy scalable machine learning and AI solutions for business-critical applications.
• Lead a team of AI/ML engineers and provide technical guidance, mentoring, and code reviews.
• Build and maintain MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
• Collaborate with Data Scientists and Data Engineers to operationalize ML models into production environments

Preferred Skill and Experience

• Generative AI, LLMs, RAG, Agentic AI frameworks.
• Databricks, Snowflake, Spark, Kafka.
• DevOps, Infrastructure as Code (Terraform), CI/CD pipelines.
• AI governance, Responsible AI, model monitoring, and observability.
• Relevant cloud and AI certifications.

Additional Required 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.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• 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

About Us

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.