Job description

The Infosys Financial Services unit is a global leader in driving digital transformation for financial institutions. We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to help our clients accelerate growth and unlock business value. Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer experiences, and achieve operational excellence. Join us to be part of a pioneering team that is at the forefront of financial services transformation. You'll have the opportunity to work with cutting-edge AI technologies, collaborate with industry experts, and contribute to transformative projects across banking, wealth management, and insurance sectors. If you're passionate about AI and eager to make a significant impact, the Infosys Financial Services unit is the perfect place for you to grow and excel. Job role: Technology Consultant 2 Required skills and experience • Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI. • Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring. • Experience with AWS SageMaker for model development and model deployment. • Experience with developing and deploying AI Agents for business problems. • Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance. • Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering. • Experience in understanding quantitative/ statistical/ML/AI modeling methodologies. • Experience in ML engineering, including hands-on experience with Generative AI/LLMs. Preferred skills • Experience in building and maintaining scalable data pipelines and APIs to support ML workflows. • Knowledge of data privacy and security best practices in cloud environments. • Familiarity with containerization (Docker) and container orchestration is a plus. 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. • All applicants authorized to work in the United States are encouraged to apply. Locations: Plano, TX; Raleigh, NC; Reston, VA; Richardson, TX; Tempe, AZ 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: Technology Consultant 2
Required skills and experience
Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.
Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring.
Experience with AWS SageMaker for model development and model deployment.
Experience with developing and deploying AI Agents for business problems.
Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance.
Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
Experience in understanding quantitative/
statistical/ML/AI modeling methodologies.
Experience in ML engineering, including hands-on experience with Generative AI/LLMs.
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 in building and maintaining scalable data pipelines and APIs to support ML workflows.
Knowledge of data privacy and security best practices in cloud environments.
Familiarity with containerization (Docker) and container orchestration is a plus.
Qualifications and work authorization
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.
Locations: Plano, TX; Raleigh, NC; Reston, VA; Richardson, TX; Tempe, AZ

Application prep

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

Keywords to mirror

aipythonmlmachine learningawsdockeragile

Platform: infosys
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off