Python and AI programming expert

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 .
• 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 Microsofts 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 bachelors 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 Masters 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.