Ai Engineer

Description

Our customer is growing their development and production team for machine learning, data science, and data engineering. They are seeking a resource who can advance their team AI Footprint. Work with business cases and build out solutions, must have prior experience solving AI challenges. Have experience putting these into production. There is a backlog of projects that are approved supporting various business units including customer service, communication teams, engineering, field technology, and more. 5+ Years Focused on manipulating data in a software engineering capacity. Some of that data might live in relational systems, increasingly moving towards NoSQL systems and data lakes. Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information. Construct datasets that are easy to analyze and support company requirements. Combine raw information from different sources to create consistent and machine-readable formats. This IT role requires a significant set of technical skills, including a deep knowledge of SQL, data modeling, and tools like Spark/Hive/Airflow. must have experience building models in Python and data bricks. Requirements: taking a business challenge and creating an AI Solution through Architecture and design using ETL to move data around as needed form multiple sources such as cloud or on prem. Must have experience with databricks and azure DevOps Must have CICD skills to move data from one environment to another. Must be consultative to support the growth of the team. Be able to bring new approaches and standards to the team, to help this team expand their offerings to other teams. Such as making the data accessible to other business teams to run their own data metrics. As well, add catalogs of data, and views. How do we give access from the unity catalog or share data externally. The technical stack for the team includes: Databricks, Autosys, C#.NET (Web APIs), React.js. But also adding Azure ML, Natual language processing (NLP) and ML Python modules.

Skills

Python, Data, azure, azure devops, library, erpss, predictive modelling, algorithm, predictive analytics, artificial intelligence, machine learning, sql, statistical model, cicd, databricks

Top Skills Details

Python,Data,azure,azure devops,library,erpss,predictive modelling,algorithm,predictive analytics,artificial intelligence,machine learning,sql,statistical model,cicd,databricks

Additional Skills & Qualifications

Must answer Pre screening questions for submittal; please attach to resume Pre-Screening Questions Technical Skills & Experience • Which cloud platforms have you worked with in a data engineering capacity? • Describe your experience with Azure Data Factory, Synapse, and/or Databricks. • Can you describe a recent ETL pipeline you designed and implemented? (What tools did you use? What were the data sources and targets?) • Do you have experience with both structured and unstructured data modeling? (If yes, please provide examples.) • Which of the following tools have you used in production? - Oracle GoldenGate - SSIS - Autosys - PowerShell - Azure Key Vault - ReactJS/.NETReactJS/.NET (Follow-up: Which one are you most comfortable with?) • Have you worked with big data technologies like Spark or Hive? (If yes, describe the use case and your role.) Architecture & DevOps • Have you created architecture diagrams (context, logical, physical, orchestration)? (If yes, what tools did you use and for what purpose?) • What is your experience with CI/CD pipelines and Infrastructure as Code (IaC)? (Have you used ARM templates or similar tools?) • Have you worked in Agile or DevOps environments? (What tools did you use for sprint planning and deployment?) Security & Governance • How have you handled data security and access control in your previous roles? (Have you used tools like CyberArk or Azure Key Vault?) • Have you worked in a regulated industry (e.g., utilities, finance, healthcare)? (If yes, how did compliance impact your data engineering work?) Domain & Collaboration • Do you have experience in the utilities or energy sector? (If yes, describe the types of data and analytics projects you worked on.) • Have you collaborated with cross-functional teams (e.g., data scientists, architects, business analysts)? (How did you ensure alignment and communication?) • This role requires being in the office in midtown Atlanta are you able to commute 4 day

Experience Level

Intermediate Level

Pay and Benefits

The pay range for this position is $80.00 - $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 onsite position in Atlanta,GA.

Application Deadline

This position is anticipated to close on Sep 19, 2025.

h4> 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.