AI/ML Engineer

Description
Summary:
Design, develop, maintain, support, and translate corporate business vision 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, all-the-while maintaining resilience to change as a key architectural and strategy objective for the enterprise. In the fast-paced world of IT, agility and responsiveness to the frequently occurring changes in direction are a must.
To support the mission, projects, and system requirements, the client requires sophisticated information technology systems support services by experienced professionals. The team demonstrates leadership by evaluating and driving implementation of innovative solutions for technology infrastructure and application architecture.

Designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to develop 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:
o 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.
o 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.
o Implementing and Deploying Cloud Applications:
Experience deploying python applications in cloud service production environments (e.g., AWS, Azure, Google Cloud Platform), potentially leveraging containerization tools (e.g., Docker, Kubernetes).
o 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.
o 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.
o 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.
o 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.
o 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 complex to extremely complex programs. and also provides strategic and expert advice and technical guidance, to program and project staff.
o 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:
o Desirable: hands on experience building MCP servers and integration with Agentic AI workflows.
o Communicating complex technical concepts to both technical and executive stakeholders.
o Proficiency creating technical diagrams with products like Microsoft Visio or Draw.io.
o Proficiency creating technical design and architecture documents in Microsoft Word.
o Proficiency creating business and technical presentations in Microsoft PowerPoint.
o Proficiency creating data representations, charts and reports in tools such as Microsoft's Excel worksheets and Power BI.
o 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.
o Using design patterns for building scalable and maintainable applications/solutions.
o Clearly document code, models, and technical solutions.
o Proficiency in Generative AI and prompt engineering.
o Continuous learning and adaptability in a very large IT organization.
o Troubleshooting software and technical implementations in large-scale enterprise ecosystems.
o API development and integration.
o Querying and managing data in both SQL and NoSQL databases.
Tasks - might include (neither exhaustive nor restrictive):
o Data science tasks such as data acquisition, data cleaning, and feature extraction.
o Develop and demonstrate proof-of-concepts (PoC); independently or in a team.
o Create technical diagrams and documentation to show PoC implementations and potential production implementation.
o Researching and presenting to teammates on the latest tools/packages/capabilities being developed.
o Make recommendations on relevant tools/packages to use for production environments.
o Work with relevant governance committees to document and obtain approval for exploratory data science efforts.
o Consulting with members of architecture teams to identify potential automation solutions which may include AI/ML.
o Collaborating with cross functional teams on holistic AI/ML solutions.
Skills
Python, data analysis, Automation, cloud, Security
Top Skills Details
Python,data analysis,Automation,cloud
Additional Skills & Qualifications
Education:
Over Twenty (20) years' of relevant experience.
o 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 related experience is required.
Additional Provisions
All candidates must be able to obtain a Active Clearance
Candidate must have lived in the US for the past 5 years.
Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.)
Place and Period of Performance
Hours of support:
o The standard work week for contract staff will be 5 days a week and 8 hours per day preferable Monday through Friday.
o Contract staff may be required to travel to support business efforts.
Experience Level
Expert Level
Pay and Benefits
The pay range for this position is $70.00 - $85.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long-term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Aug 22, 2025.
>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.