Jobs in the United States

25+ jobs

Save this search

Added 2 mins ago
Senior AI/ML Engineer | Data Science
Kelly Services
Remote, United States
Knowledge of evaluation, monitoring, and observability frameworks for AI and LLM applications
Added 3 mins ago
UC
Secretary
U.S. Coast Guard
Buzzards Bay, MA
- $57,150 to $74,297 USD / year
Added 3 mins ago
UC
Transportation Assistant
U.S. Coast Guard
Staten Island, NY
- $59,465 to $77,306 USD / year
Added 4 mins ago
AI Solutions Undergraduate Intern – Product & Content Management
Dell Technologies
Round Rock, TX
Understanding of AI/LLM systems, including indexing, retrieval, and inferencing
Added 5 mins ago
Senior Manager, Data Engineering & AI
CVS Health
Irving, TX
Leads the design and delivery of AI and ML-enabled data products, including GenAI, RAG, and LLM-based solutions, along with supporting data foundations, MLOps/LLMOps practices, and…
Added 5 mins ago
Software Engineer III - UI / Experience Services Developer
JPMorgan Chase
Plano, TX
…and Java-based experience services that incorporate agentic (LLM-driven)…
Added 5 mins ago
Digital/Technical Product Manager Lead- AI Ops
USAA
San Antonio, TX
Make build-versus-buy and platform-selection recommendations for AIOps-specific capability - which LLM or model family to standardize on, whether a vendor platform covers a need better than…
Added 5 mins ago
Business Analysis Associate II - Operations Performance Management
JPMorgan Chase
San Antonio, TX
Leverage approved AI/LLM tools to increase efficiency, strengthen analysis, summarize findings, support documentation, create reusable prompts or logic, and enhance deliverable quality.
Added 5 mins ago
Sr Data Scientist
CVS Health
San Antonio, TX · Arlington, TX
Experience deploying LLM-based systems to production with CI/CD
Added 6 mins ago
Enterprise AI Enablement Engineer
Crane Worldwide Logistics
Houston, TX
Familiarity with LLM capabilities, agentic tool use, limitations, and associated security risks.
Added 6 mins ago
Technical Program Manager II, Applied AI, Trust and Safety
Google
Austin, TX
Experience of working on LLM prompting or developing AI agents.
Added 6 mins ago
A
Agentic Commerce Senior Manager | GEO & Search
Accenture
Houston, TX · Austin, TX · Irving, TX
- $132,500 to $338,300 USD / year
…to drive scalable improvements in how brands appear within LLM-powered environments such as ChatGPT and Perplexity. The ideal candidate combines deep expertise in organic search, technical…
Added 6 mins ago
O
Principal Site Reliability Automation Developer - US REMOTE
Oracle
Austin, TX
- $102,300 to $209,500 USD / year
Added 6 mins ago
Product Designer III, AWS Marketplace and Partner Services (AMPS)
Amazon
Austin, TX
Partner with engineering to ensure design intent is preserved through implementation across both traditional front-end and LLM-powered features
Added 6 mins ago
A
MarTech Data Architect
Accenture
Irving, TX · Houston, TX · Austin, TX
- $132,500 to $302,400 USD / year
…integrations. Use AI tools - including generative design and LLM-assisted architecture review - as part of your own design process, not just as features recommended to…
Added 7 mins ago
O
Senior Applied Scientist
Oracle
Austin, TX
- $113,000 to $234,600 USD / year
Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like…
Added 7 mins ago
Forward Deployed Engineer (Palantir Foundry & Custom Development)
Jacobs
Austin, TX · Dallas, TX
Interest in AI/LLM-enabled features and using AI tools to accelerate your own development work.
Added 7 mins ago
Sr Forward Deployed Engineer (Palantir Foundry & Custom Development)
Jacobs
Dallas, TX · Austin, TX
Experience incorporating AI/LLMs into production solutions - not just using AI tools to write code faster but building AI/LLM-enabled features into what you ship.
Added 9 mins ago
Director Forward-Deployed Engineering
Innovaccer Analytics
Remote, United States
…autonomous and semi-autonomous AI agents utilizing advanced LLM orchestration…
Added 9 mins ago
IA
Supervisory Management and Program Analyst
Immigration and Customs Enforcement
Irving, TX
- $115,711 to $150,426 USD / year
Added 10 mins ago
Platform Engineer - AI Observability & Governance (OpenShift)
Bank of America, National Association
United States
Added 10 mins ago
Platform Engineer - AI Guardrails (OpenShift)
Bank of America, National Association
United States
Experience supporting platforms used by GenAI/LLM applications, or familiarity with AI guardrails, LLM evaluation, or AI observability tools.
Added 14 mins ago
TS
Transportation Security Officer
Transportation Security Administration
Lafayette, LA
- $44,315 to $56,844 USD / year
Added 14 mins ago
CA
Supervisory Management and Program Analyst
Citizenship and Immigration Services
Camp Springs, MD
- $169,279 to $197,200 USD / year
Added 15 mins ago
Platform Engineer - AI Observability & Governance (OpenShift)
Bank of America, National Association
United States

The Bison Group LLC

Machine Learning Engineer II (Model Training)

El Paso, TX, United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

Description Bison Group is seeking a Machine Learning Engineer to train, fine-tune and evaluate models for AI analysis tools. You will own the model training lifecycle, from dataset preparation through evaluation and deployment, and adapt models to domain-specific language and tasks. Hands-on model training experience is required; experience limited to hosted APIs or prompt engineering does not meet this requirement.

What you will do:

Train and fine-tune open-weight language models using supervised fine-tuning and parameter-efficient methods such as LoRA/QLoRA. Improve performance on domain terminology, task instructions and structured outputs.
Build instruction and preference datasets from transcripts, surveys and reference materials.
Clean, deduplicate and label data; generate and validate synthetic examples with subject matter.
Train or fine-tune embedding and reranker models for retrieval-augmented generation (RAG).
Measure retrieval quality for specialized terminology and acronyms.
Adapt speech recognition, speaker diarization and voice activity detection models for noisy audio, varied accents and conversations with multiple speakers.
Build offline evaluation suites and regression tests covering citation and attribution accuracy, hallucination rate and latency. Demonstrate improvements against established baselines before Quantize, export and serve trained models on on-premises GPUs and constrained hardware.
Balance model quality against memory use, inference speed and throughput.
Create reproducible training workflows with experiment tracking, versioned datasets, checkpoints and model cards. Package models and dependencies for deployment in environments without internet.
Partner with product, UX, analysts and subject matter experts to define useful model behavior.
Document experiments and decisions so teammates can retrain, evaluate and maintain models.

Requirements

3+ years of hands-on neural network training or fine-tuning. Ability to explain a project end to end, including data preparation, training decisions, evaluation results and deployment.
Hands-on fine-tuning of a 7B+ parameter open-weight language model using supervised fine-tuning (SFT), LoRA/QLoRA or full fine-tuning, with PyTorch and Hugging Face Transformers/PEFT, NeMo or equivalent tools.
Dataset construction skills, including cleaning, deduplication, formatting and labeling of text data, and judgment about whether data is suitable for training.
Experience designing task-specific metrics and test sets, and diagnosing overfitting, catastrophic forgetting and data leakage.
GPU training fundamentals, including mixed precision, gradient accumulation, checkpointing, memory budgeting and multi-GPU basics.
Strong Python and Linux skills, including command-line work, CUDA environment management and dependency management without internet access.
U.S. citizenship and eligibility to obtain and maintain a U.S. security clearance.

Preferred qualifications:

iOS development, especially on-device machine learning with Core ML or MLX.
Training small language models or distilling larger models for edge and on-device use.
Experience with NVIDIA NeMo or model serving with NIM/TensorRT-LLM.
Preference tuning with DPO, ORPO or RLHF, or experience with reward modeling.
Training embedding or reranker models for RAG applications.
Speech recognition fine-tuning, speaker diarization or voice activity detection.
Quantization and inference tooling such as GGUF, llama.cpp, vLLM, AWQ/GPTQ or MLX.
Experience with ARM64 or other unified-memory platforms.
Work in defense, intelligence or air-gapped environments; an active Secret clearance or higher.
Familiarity with qualitative research data, including focus groups, surveys and interview.

The Bison Group, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, genetic information, or protected veteran status and will not be discriminated against on the basis of disability. If you’d like to view a copy of the company’s affirmative action plan for protected veterans/individuals with disabilities or our policy statement, please email EEO@bisongroupusa.com. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail Accessibiity@bisongroupusa.com. This mailbox is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only emails sent for this purpose will be returned. Emails left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response.

Disclaimer: This position offers a wage or salary range based on market data and internal pay policies. This range is a good-faith estimate and may vary depending on qualifications, experience, and other factors. We do not request or use prior compensation history in making employment decisions. Any voluntary disclosure of prior wage information may be considered to support a higher offer but will not be used to justify a lower offer.

The Bison Group offers benefit options including medical, dental, vision, life, disability insurance, and accrued PTO including vacation, sick leave and holidays.

The listed pay range serves as a general guideline rather than a guaranteed salary. Final compensation is determined by a variety of factors including, but not limited to, role-specific responsibilities; candidate qualifications such as education, skills, and mission-aligned experience; market data, business considerations, internal equity, and any applicable legal or bargaining agreements (if any).

Apply About employer

Report this job