Python Expert & IT Solutions Developer at Infosys in Remote

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
• Hands-on experience with Databricks for large-scale data engineering, analytics, machine learning, and cloud-based data processing solutions.
• 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.

Desired Skills:

• Hands on experience building MCP servers and integration with Agentic AI workflows.
• Communicating complex technical concepts to both technical and executive stakeholders.
• Proficiency creating technical diagrams with products like Microsoft Visio or Draw.io.
• Proficiency creating technical design and architecture documents in Microsoft Word.
• Proficiency creating business and technical presentations in Microsoft PowerPoint.
• Proficiency 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.
• 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.

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

EEO/About Us

Benefits

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• 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.

EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Skillset

Technology|Artificial Intelligence|Artificial Intelligence - ALL, Technology|Data Science|Machine Learning, Technology|data science|PYTHON