AI ML Engineer with LLM & AWS Integration

Overview 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 Responsibilities Assist in conducting targeted interviews and workshops to capture user needs, and ensure accurate documentation of stakeholder requirements. Participate in design discussions to capture software specifications, and aid in the creation of process documentation. Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements. Execute test plans, analyze outcomes, and report defects to the development team, to facilitate enhancement of software performance. Support the integration of new software features, facilitating smooth transitions within the existing system infrastructure. Monitor and troubleshoot live applications, ensuring prompt resolution of issues and creation of comprehensive documentation for ongoing system maintenance. Systematically document coding practices, testing methodologies, and technical solutions, thereby enriching the team's knowledge repository. Candidate Contributions An agile mindset with effective communication and problem‑solving skills. The ability to work on the majority of the areas as part of the SDLC lifecycle. Passion for innovating solutions that drive progress and meet future challenges. A proactive approach to monitoring and resolving production issues before they escalate. Commitment to continuous learning, knowledge sharing, and fostering team development. Required Skill and Experience Experience in designing, developing, and fine‑tuning machine learning models, particularly those involving LLMs and generative AI. Experience with developing and deploying AI Agents for business problems. Experience in optimizing and adapting prompt engineering strategies to improve model performance and relevance. Experience in integrating and deploying models using AWS services including Bedrock, S3, ECS, EC2, Lambda, and other AI/ML related services. Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering. Experience with AWS services, especially Bedrock, S3, EC2, and Lambda. Familiarity with MLOps practices and tools for model deployment and monitoring. Experience with AWS SageMaker for model development and deployment. Experience in understanding quantitative, statistical, ML, and AI modeling methodologies. Experience in ML engineering, including hands‑on experience with Generative AI/LLMs. Preferred Skill and Experience Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit‑learn). 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. Additional Required Qualifications Bachelor’s degree or foreign equivalent required from an accredited institution. Three years of progressive experience in the specialty may be considered 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, and Life Insurance Long‑term/Short‑term Disability Health and Dependent Care Reimbursement Accounts Insurance (Accident, Critical Illness, Hospital Indemnity, Legal) Paid holidays plus Paid Time Off EEO Statement 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. #J-18808-Ljbffr Infosys