Infosys Public Services is seeking a Python and AI programming expert to join our team.

Position Description (scope of work or brief narrative): Tasks - might include (neither exhaustive nor restrictive):

• Data science tasks such as data acquisition, data cleaning, and feature extraction.
• Develop and demonstrate proof-of-concepts (PoC); independently or in a team.
• Create technical diagrams and documentation to show PoC implementations and potential production implementations.
• Researching and presenting to teammates on the latest tools/packages/capabilities being developed.
• Make recommendations on relevant tools/packages to use for production environments.
• Work with relevant governance committees to document and obtain approval for exploratory data science efforts.
• Consulting with members of architecture teams to identify potential automation solutions, which may include AI/ML.
• Collaborating with cross-functional teams on holistic AI/ML solutions.

Required years of experience, training, technical skills, and other requirements for job performance:

• Minimum 11 years of relevant Experience.
• Practical Application of Core Python Concepts: Not just knowing Python syntax, but demonstrating a track record of building and deploying Python applications or scripts that address IT operational needs, automate processes, or handle data management.
• Data Engineering and Analysis Skills: Demonstrable experience with data acquisition, cleaning, preprocessing, and transformation using Python tools and techniques for building robust analysis on large-scale data sets.
• Implementing and Deploying Cloud Applications: Experience deploying Python applications in cloud service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., Docker, Kubernetes).

Understanding of Software Engineering Best Practices:

• Experience in applying principles like version control (Git), writing clear and testable code, participating in code reviews, and using continuous integration/continuous deployment (CI/CD) pipelines.
• Knowledge of Data Science Best Practices: Demonstrated understanding and implementation of data science solutions such as data pipelining, feature engineering, or creation of Machine Learning Models.
• Familiarity with Cloud-based Data Science Services: Proficiency using managed AI/ML services provided by cloud platforms to streamline development, deployment, and management of data science applications.
• Ethical Practices and Security Knowledge: A demonstrated awareness and application of ethical guidelines for data science solutioning, including addressing bias, ensuring data privacy, and implementing secure coding practices in Python-based solutions.

Chosen resource should exhibit through actual work experience, not merely training:

• Desirable: hands-on experience building MCP servers and integration with Agentic AI workflows.
• Communicating complex technical concepts to both technical and executive stakeholders.
• Proficiency in creating technical diagrams with products like Microsoft Visio or Draw.io.
• Proficiency in creating technical design and architecture documents in Microsoft Word.
• Proficiency in creating business and technical presentations in Microsoft PowerPoint.
• Proficiency in creating data representations, charts, and reports in tools such as Microsoft's Excel worksheets and Power BI.
• Ability to communicate, orally and in writing, sufficient to develop and present management briefings; provide written and/or verbal guidance on technical issues; and prepare/present recommendations and reports.
• Using design patterns for building scalable and maintainable applications/solutions.
• Clearly document code, models, and technical solutions.
• Proficiency in Generative AI and prompt engineering.
• Continuous learning and adaptability in a very large IT organization.
• Troubleshooting software and technical implementations in large-scale enterprise ecosystems.
• API development and integration.
• Querying and managing data in both SQL and NoSQL databases.

Educational Requirements:

• A bachelor's degree or foreign equivalent is required from an accredited institution. Will consider three years of progressive, relevant work experience instead of every year of education. Candidates who have completed a Master's degree program are strongly preferred.

The job entails sitting and working at a computer for extended periods. Should be able to communicate by telephone, email, or face-to-face. Travel may be required as per the job requirements.