Infosys Public Services is seeking a
Python Expert & IT Solutions Developer to join our team.
Position Description (scope of work or brief narrative):
List of tasks to be performed-
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.
- 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
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Hands-on experience with Databricks for large-scale data engineering, analytics, machine learning, and cloud-based data processing solutions.
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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
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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
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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.
Desired Skills:-
Hands on experience building MCP servers and integration with Agentic AI workflows.
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Communicating complex technical concepts to both technical and executive stakeholders.
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Proficiency creating technical diagrams with products like Microsoft Visio or Draw.io.
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Proficiency creating technical design and architecture documents in Microsoft Word.
- Proficiency creating business and technical presentations in Microsoft PowerPoint.
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Proficiency creating data representations, charts and reports in tools such as Microsoft’s Excel worksheets and Power BI.
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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.
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Using design patterns for building scalable and maintainable applications/solutions.
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Clearly document code, models, and technical solutions.
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Proficiency in Generative AI and prompt engineering.
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Continuous learning and adaptability in a very large IT organization.
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Troubleshooting software and technical implementations in large-scale enterprise ecosystems.
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API development and integration.
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Querying and managing data in both SQL and NoSQL databases.
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Data science tasks such as data acquisition, data cleaning, and feature extraction.
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Develop and demonstrate proof-of-concepts (PoC); independently or in a team.
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Create technical diagrams and documentation to show PoC implementations and potential production implementations.
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Researching and presenting to teammates on the latest tools/packages/capabilities being developed.
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Make recommendations on relevant tools/packages to use for production environments.
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Work with relevant governance committees to document and obtain approval for exploratory data science efforts.
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Consulting with members of architecture teams to identify potential automation solutions which may include AI/ML.
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Collaborating with cross functional teams on holistic AI/ML solutions.
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.
The estimated annual compensation range for this role will be as follows:
In CA/ WA/NY/CO/MD/IL/MN/NJ/VT/MA: $73,000 to $102,200
In Washington, DC: $66,100 to $100,200
