AI/ML Engineer

Infosys; Austin (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays plus Paid Time Off

Long-term/Short-term Disability

Health and Dependent Care Reimburse

Job summary

Infosys is seeking a Data Science Consultant 2 to design, develop, and deploy ML and Generative AI solutions, leveraging Python, SAS, and R. You will build scalable analytics pipelines, manage model lifecycles, and collaborate with stakeholders to translate business needs into data-driven results.

Expect opportunities to contribute to IP, training, and governance across cloud platforms and multi-system deployments.

Qualifications

• 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 model 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.

Responsibilities

• Develop data preparation tasks and detect patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases including forecasting and LLM-based solutions.
• Test and optimize algorithms for performance, reliability, and scalability.
• Design and develop predictive models and data-driven analyses for business challenges.
• Build, evaluate, deploy models, standardize code, and contribute to knowledge management.
• Leverage SAS and R/Python to create reusable customizations for ML and non-ML tasks.
• Define analytics problems and execute visualization, analysis, and predictive modeling.

Skills

Python

AI/ML frameworks

Machine Learning algorithms

Generative AI

LLMs

MLOps concepts

CI/CD

Cloud AI/ML platforms

API development

Docker

Kubernetes

Vector databases

Education

Bachelor’s degree or foreign equivalent

Three years progressive experience in lieu of education

Tools

SAS

R

Python

LangChain

LlamaIndex

OpenAI

Azure OpenAI

MLflow

Kubeflow

Azure ML

SageMaker

Docker

Kubernetes

Job description

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.

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

• 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. AI/ML development and implementation.
• Strong proficiency in Python and AI/ML development frameworks.
• Hands-on experience with Machine Learning algorithms, model training, and model 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 Skill And Experience

• Experience with LangChain, LlamaIndex, OpenAI, Azure OpenAI, or similar GenAI 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.
• AI governance, responsible AI, and model observability experience.

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.

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

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.