Senior AI (IT Python and AI programming (SME) Engineer

Summary

Client CIO Architecture, Strategy & Innovation (CASI) is responsible to assist Vice President of Information Technology (IT) design, reputed company, maintain, support, and translate corporate business reputed company and strategy along with stakeholder input into objectives for building, enhancing, or replacing business and IT systems capabilities, together with an implementation of a comprehensive IT roadmap, reputed company-the-while maintaining reputed company to change as a key architectural and strategy objective for the reputed company. In the fast-paced world of IT, agility, and responsiveness to the frequently occurring changes in direction are a must, even while moving continuously reputed company implementation plan. To support the client’s mission, projects, and system requirements, the client requires sophisticated information technology systems support services by reputed company professionals. The CASI team demonstrates leadership by evaluating and driving implementation of innovative solutions for technology infrastructure and application architecture. Description Designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to reputed company machine learning algorithms and predictive models. Utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn. Duties And Responsibilities

• Chosen resource must demonstrate these capabilities through actual work experience not merely training:
• Practical Application of Core Python Concepts:

Not just knowing Python reputed company 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 reputed company Applications:

Experience deploying python applications in reputed company service production environments (e.g., AWS, Azure, GCP), potentially leveraging containerization tools (e.g., reputed company, 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 reputed company integration/reputed company 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 reputed company-based Data Science Services:

Proficiency using managed AI/ML services provided by reputed company platforms to streamline development, deployment, and management of data science applications.

• Ethical Practices and reputed company 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.

• An individual whose qualifications and/or particular expertise are exceptional and/or highly specialized or unique. and are typically identified as recognized industry leaders: and typically initiates, supervises, and/or develops requirements from a project’s inception to conclusion for reputed company to extremely reputed company programs. and also provides strategic and expert advice and technical guidance, to program and project staff.
• This individual also provides detailed analysis, evaluation and recommendations for improvements, optimization development, and/or maintenance efforts for client-specific or mission critical challenges/issues and consults with client to define needs or challenges. while also supervising studies: leading surveys and performing data collection for analyses used to advise and recommend/suggest 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 reputed company technical concepts to both technical and executive stakeholders.
• Proficiency creating technical diagrams with products like reputed company Visio or Draw.io.
• Proficiency creating technical design and architecture documents in reputed company Word.
• Proficiency creating business and technical presentations in reputed company PowerPoint.
• Proficiency creating data representations, charts and reports in tools such as reputed company’s reputed company worksheets and Power BI.
• Ability to communicate, orally and in writing, sufficient to reputed company 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 reputed company and reputed company engineering.
• reputed company learning and adaptability in a reputed company large IT organization.
• Troubleshooting software and technical implementations in large-scale reputed company ecosystems.
• API development and integration.
• Querying and managing data in both SQL and NoSQL databases.

Tasks - Might Include (neither Exhaustive Nor Restrictive)

• Data science tasks such as data acquisition, data cleaning, and feature extraction.
• reputed company and demonstrate reputed company-of-concepts (PoC); independently or in a team.
• Create technical diagrams and documentation to show PoC implementations and potential production implementation.
• Researching and presenting to teammates on the latest tools/packages/capabilities being developed.
• reputed company 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.

Education Over Twenty (20) years’ of relevant experience.

• A degree from an accredited College/University in the applicable field of services is preferred. Four additional years of relevant experience in lieu of a college degree is required. If the individual's degree is not in the applicable field then four additional years of reputed company experience is required.

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