Python AWS AI Engineer

About the role

Your Area Of Responsibility will be:

• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided.
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions.
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability.
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards.
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications.
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability.
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• This position may require relocation and/or travel to work/project location.

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.

Benefits

• Competitive pay.
• 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.