Technical Test Lead | Machine Learning | data science

Company

Description:

IMCS Group is one of the fastest growing MWBE (Minority Woman Owned Enterprise) staffing firms in the U.S. We focus on bringing a Diversity Recruitment approach to Fortune 500 companies within North America and EMEA region contingent labor programs. IMCS Group excels in providing top talent in IT, Healthcare, Engineering, Finance, Light Industrial, Contact Center, and Clerical. We have offices in the US, Canada, Mexico, and India in which we can provide support to our clients.

Description:

POC:
Sam Chavez

ATTENTION ALL SUPPLIERS!!!

READ BEFORE SUBMITTING:
UPDATED CONTACT NUMBER and EMAIL  a MANDATORY REQUEST from our client for all the submissions
We prioritize endorsing those with complete and accurate information
Avoid submitting duplicate profiles. We will Reject/Disqualify immediately.
Make sure that candidate's interview schedules are updated. Please inform the candidate to keep their lines open.
Please submit profiles within the max proposed rate**
* Please make sure to TAG the profiles correctly if the candidate has WORKED FOR
*** as a SUBCON or FTE.

MANDATORY:
Please include in the resume the candidate s complete & updated contact information (Phone number, Email address and Skype ) as well as a set of 5 interview timeslots over a 72-hour period after submitting the profile when the hiring managers could potentially reach to them. PROFILES WITHOUT THE REQUIRED DETAILS and TIME SLOTS will be REJECTED.

Job Title:

Technical Test Lead | Machine Learning | data science Data Scientist
Work Location & Reporting Address:
Fort Worth, TX 76155 (Onsite-Hybrid. Local candidates only)
Contract duration: 6
MAX VENDOR RATE:
*** per hour max
Target

Start Date:

23 Jul 2026
Does this position require Visa independent candidates only? Yes

Must Have

Skills:

Graduate degree in a quantitative field (Operations Research, Industrial Engineering, Applied Math, Data Science, etc.)
Strong Python development experience in building production applications
Proven experience designing and implementing deterministic optimization models using solvers such as Gurobi, CPLEX, or Xpress (ideally MIP-based

Nice to Have

Skills:

Experience with dynamic or stochastic optimization / programming
Background in machine learning / predictive modeling and integrating forecasts into optimization workflows
Familiarity with CI/CD pipelines, automated testing (unit, integration), and cloud-based deployments
Experience in database integration using SQL, MongoDB, and/or other

Experience with transportation, supply chain, service part logistics, or spare parts systems

Detailed

Job Description:

Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other engineers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions/
Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development/
Troubleshoot and debug complex issues; identify and implement solutions/
Create detailed project specifications, requirements, and estimates/
Research and implement new AI technologies to enhance current processes, security, and performance/
Work closely with data scientists and product teams to build and deploy machine learning models, focusing on the technical aspects of model deployment.//
Implement and optimize Python-based ML pipelines for data preprocessing, model training, and deployment./
Monitor model performance and implement strategies for bias mitigation and explainability. Responsible for ensuring models are scalable and efficient in production environments./
Write and maintain code for model training and deployment, collaborating with software engineers to integrate models into applications./
/Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions.//

ALL YOU LL NEED FOR SUCCESS
Top requirements:
Graduate degree in a quantitative field (Operations Research, Industrial Engineering, Applied Math, Data Science, etc.)
Strong Python development experience in building production applications
Proven experience designing and implementing deterministic optimization models using solvers such as Gurobi, CPLEX, or Xpress (ideally MIP-based

Nice to have skills:

Experience with dynamic or stochastic optimization / programming
Background in machine learning / predictive modeling and integrating forecasts into optimization workflows
Familiarity with CI/CD pipelines, automated testing (unit, integration), and cloud-based deployments
Experience in database integration using SQL, MongoDB, and/or other

Experience with transportation, supply chain, service part logistics, or spare parts systems

Minimum Years of

Experience:

8+ years

Certifications Needed:

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

Interview Process (Is face to face required?)
Virtual and Face-to-face

Any additional information you would like to share about the project…