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Test Engineer | data science | Machine Learning

IMCS Group Inc

Fort Worth, TX

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JOB DETAILS
SKILLS
A/B Testing, Artificial Intelligence (AI), Benchmarking, Caching, Call Centers, Construction, Content Development, Content Filtering Software, Cost Control, Customer Support/Service, Data Science, Diversity Recruiting, Finance, Fortune 500 Customers, Health Information Technology, Information Retrieval, Machine Learning, Python Programming/Scripting Language, Quality Metrics, Regression Testing, Reinforcement Learning, Shallow Parsing, Software Engineering, System Architecture, Systems Engineering, Testing
LOCATION
Fort Worth, TX
POSTED
30+ days ago
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 ID is a MANDATORY REQUEST from our client for all the submissions
" Limited to 1 submission per supplier. Please submit your best.
" 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 ID) 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: Test Engineer | data science | Machine Learning - Machine Learning Engineer
Work Location & Reporting Address: Fort Worth, TX 76155 (Onsite. Candidate will be working hybrid; onsite 3 days a week and 2 days virtually)
Contract duration: 6
MAX VENDOR RATE: *** per hour max
Target Start Date: 05 May 2026
Does this position require Visa independent candidates only? No

Must Have Skills:
5+ years in ML engineering or applied ML, with at least 2 years hands-on experience with LLMs (GPT-4, Claude, Llama, Mistral, or similar); strong Python proficiency and experience with ML frameworks (PyTorch, HuggingFace Transformers).
Production experience building RAG systems, including vector databases (Pinecone, Weaviate, pgvector, FAISS), embedding models, chunking strategies, and retrieval optimization; experience with prompt engineering and chain-of-thought patterns.
Experience with ML evaluation and experimentation - building evaluation harnesses, A/B testing, regression testing for LLM outputs, and defining quality metrics for non-deterministic AI systems.

Nice to Have Skills:
Experience with model fine-tuning (LoRA, QLoRA), model serving (vLLM, TGI, Triton), multi-agent orchestration frameworks, reinforcement learning from human feedback (RLHF), MLOps/LLMOps platforms, knowledge graph construction, cost optimization for LLM inference, airline or travel domain experience.

Detailed Job Description:
As a Machine Learning Engineer on the Agentic System Layer (ASL) team, you will build the ML-powered components that make American Airlines agentic AI systems intelligent and reliable.
Day-to-day responsibilities include: developing and optimizing LLM-powered agent pipelines including prompt engineering, chain-of-thought reasoning, and tool-use patterns; building RAG (Retrieval Augmented Generation) systems with vector search, embedding models, and knowledge retrieval pipelines; implementing agent evaluation, benchmarking, and regression testing frameworks; fine-tuning and optimizing model inference for latency and cost (quantization, caching, batching, model routing); developing guardrails, content filtering, and safety mechanisms for production agent deployments; collaborating with software engineers on model serving infrastructure and with architects on system design; staying current with rapid advances in agentic AI, LLM capabilities, and evaluation methodologies.
A great candidate lives at the intersection of ML research and production engineering. They can read the latest papers on agentic AI, understand what is practically useful versus academic noise, and turn those ideas into production-ready code. They obsess over evaluation - they know that if you cannot measure it, you cannot ship it. They are comfortable with the inherent non-determinism of LLM systems and have practical strategies for building reliability on top of probabilistic foundations.
Candidate will be working hybrid; onsite 3 days a week and 2 days virtually
Interviews will have 2 rounds.
Top 3 Mandatory Skills and Experience: 1) 5+ years in ML engineering or applied ML, with at least 2 years hands-on experience with LLMs (GPT-4, Claude, Llama, Mistral, or similar); strong Python proficiency and experience with ML frameworks (PyTorch, HuggingFace Transformers). 2) Production experience building RAG systems, including vector databases (Pinecone, Weaviate, pgvector, FAISS), embedding models, chunking strategies, and retrieval optimization; experience with prompt engineering and chain-of-thought patterns. 3) Experience with ML evaluation and experimentation - building evaluation harnesses, A/B testing, regression testing for LLM outputs, and defining quality metrics for non-deterministic AI systems.
Nice to Have Skills: Experience with model fine-tuning (LoRA, QLoRA), model serving (vLLM, TGI, Triton), multi-agent orchestration frameworks, reinforcement learning from human feedback (RLHF), MLOps/LLMOps platforms, knowledge graph construction, cost optimization for LLM inference, airline or travel domain experience.

Minimum Years of Experience:
5+ years

Certifications Needed:
None

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

Interview Process (Is face to face required?)
Interview will be 2 rounds

Any additional information you would like to share about the project specs/nature of work:

EEOC Disclaimer: IMCS Group is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. IMCS Group is committed to maintaining an inclusive workforce, where employees are hired, retained, compensated, and promoted based on their contributions to our Company.

About the Company

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IMCS Group Inc

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