Python AWS AI Engineer

Infosys•Raleigh, CT

1d•Onsite

About The Position

In the assigned Job Role of Technology Consultant 1, your Area Of Responsibility will be as below: 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 creation of process documentation. Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements. Execute test plans, analyse 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 team's knowledge repository. Your contribution to the team: An agile mindset with effective communication and problem-solving skills. The ability to work on majority of the areas as part of 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.

Requirements

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.

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 creation of process documentation.
Develop, refine, and document code for new software applications, following detailed design specifications to meet user requirements
Execute test plans, analyse 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 team's knowledge repository