Job description

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. Job role: Data Science Consultant 2 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. 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 skills • 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. Qualifications and work authorization • 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. Locations: Austin, TX; Hartford, CT; Indianapolis, IN; Raleigh, NC; Richardson, TX Benefits Along with competitive pay, as a full-time Infosys employee you are also eligible for the following 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.

Requirements

Must-haves

Job role: Data Science Consultant 2
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. 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.
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.

Nice-to-haves

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.
Qualifications and work authorization
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.
Locations: Austin, TX; Hartford, CT; Indianapolis, IN; Raleigh, NC; Richardson, TX

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlllmpythonci/cdapiazuredockerkubernetesagile

Platform: infosys
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off