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Senior Product Security Engineer
IBM
Austin, TX · Dallas, TX
The Secure Lifecycle Management (SLM) organization is seeking a Product Security Engineer to partner closely with the engineering teams responsible for HashiCorp Vault, Boundary, and Radar.…
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Senior Frontend Engineer - Hashicorp Vault
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Austin, TX · Dallas, TX
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Staff Software Engineer
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Austin, TX
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Software Engineer Data & AI II (Full Time) – United States
Cisco
Austin, TX
- Full-time
You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning…
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Sr Forward Deployed Engineer (Palantir Foundry & Custom Development)
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We're looking for a Mid-Senior Forward Deployed Engineer (FDE II) to own real ambiguity: taking a rough problem statement from the client, Implementation Lead, PM, or Architect, and driving…
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DC
DATA SCIENTIST (DATA ARCHITECT/DATA ENGINEER/AI-ML SPECIALIST)
Defense Counterintelligence and Security Agency
Hanover, MD · Boyers, PA · Quantico, VA · Stafford, VA
- $105,262 to $160,933 USD / year
…seeking a non-supervisory Data Scientist (Data Architect/Data Engineer/AI-ML Specialist). The incumbent will provide support, guidance and expertise in various Data Scientist functions.…
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Senior Manager, Cloud Adoption Engineering
Oracle
Reston, VA · Washington, DC
Ensure each engagement has an agreed scope, accountable engineer, customer stakeholders, success criteria, and expected deliverables.
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E2E Network Test Engineer
Infosys
United States
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Java Developer - Software Engineer III
Bank of America, National Association
United States
The Fraud Technology team is seeking an experienced, hands-on Software Engineer III to design, develop, and support enterprise-grade applications while providing technical leadership…
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Java Developer/Software Engineer III
Bank of America, National Association
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The Fraud Technology team is looking for an experienced, hands-on Java Developer to design, build, and support enterprise-grade applications while guiding the team through the full software…
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E2E Network Test Engineer
Infosys
United States
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E2E Network Test Engineer
Infosys
United States
Added 3 mins ago
E2E Network Test Engineer
Infosys
United States
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Platform Engineer - AI Observability & Governance (OpenShift)
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United States
…record of running enterprise platforms in production. The ideal engineer is hands-on, comfortable owning production issues end to end, picks up new tools quickly, and can lead…
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Platform Engineer - AI Guardrails (OpenShift)
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…record of running enterprise platforms in production. The ideal engineer is hands-on, comfortable owning production issues end to end, picks up new tools quickly, and can lead…
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Director, Cloud Infrastructure
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Melville, NY
…hands-on, player-coach role: an expert AWS architect and network engineer who also leads people. Operating globally, the Senior Director will set and review AWS architecture, including…
Added 5 mins ago
Senior Software Engineer - Access Management
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Senior AI Engineer (Camgian Labs)
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As a Senior Artificial Intelligence Engineer for Camgian Labs, our advanced R&D and rapid prototyping team, you will lead the design and development of AI/ML-powered prototypes that push…
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Staff Data Engineer
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United States
The Staff Data Engineer is a senior, hands-on technical contributor within an Enterprise Data domain, owning technical design and the most complex implementation work for assigned data…
Added 8 mins ago
Platform Engineer - AI Observability & Governance (OpenShift)
Bank of America, National Association
United States
…record of running enterprise platforms in production. The ideal engineer is hands-on, comfortable owning production issues end to end, picks up new tools quickly, and can lead…
Added 8 mins ago
Platform Engineer - AI Guardrails (OpenShift)
Bank of America, National Association
United States
…record of running enterprise platforms in production. The ideal engineer is hands-on, comfortable owning production issues end to end, picks up new tools quickly, and can lead…
Added 9 mins ago
Staff Software Engineer, Infrastructure
CLEAR - Corporate
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As an Staff Software Engineer on Cloud Infrastructure, you'll set the technical direction for the cloud platform that underpins every system at CLEAR, from AWS networking and Kubernetes to…
Added 10 mins ago
Senior Software Engineer (Full-Stack / AI-Native)
Zinda Law Group, PLLC
Remote, United States
We're hiring a Senior Software Engineer who is an exceptional individual contributor, enjoys solving difficult technical problems, and knows how to turn ideas into working software quickly.

The Bison Group LLC

Machine Learning Engineer II (Model Training)

El Paso, TX, United States

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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).

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