Language Model

Language Model Data Jobs

2 jobs found

1mo ago

Machine Learning Engineer

Lyntris Remote 🌍 Remote

Remote

1mo ago Closed

Contract Artificial Intelligence Data Pipeline Data Processing

This position is no longer accepting applications (closed Aug 31, 2026).

Job Description

A remote contract role at Lyntris to build NLP pipelines and LLM powered document understanding to transform engineering documentation into structured, machine-actionable knowledge.

Responsibilities

Design, implement, and maintain NLP pipelines for technical and structured document understanding, including information extraction, summarization, semantic search, and question answering.
Build and optimize LLM powered applications using transformer-based models, including fine-tuning, prompt engineering, and retrieval augmented generation (RAG) architectures.
Process and analyze complex technical corpora such as engineering manuals, specifications, technical reports, drawings, tables, and figures.
Develop methods to convert unstructured and semi-structured documents into structured, machine-actionable knowledge for downstream applications.
Implement scalable machine learning solutions using Python and modern frameworks such as PyTorch and Hugging Face.
Evaluate model performance, improve accuracy, and optimize inference pipelines for production environments.
Collaborate with cross-functional teams including software engineers, data scientists, and subject matter experts to define requirements and deliver AI-enabled document intelligence solutions.
Performs other duties as assigned.

Requirements

Bachelor's degree in Computer Science, Data Science, AI/Machine Learning, or a related technical field (or equivalent practical experience).
2-4 years of experience building NLP pipelines for technical or structured document understanding, including extraction, summarization, semantic search, and question answering.
Hands-on experience with large language models and transformer architectures (BERT and successors), including fine-tuning, prompt engineering, pipeline orchestration, and retrieval augmented generation (RAG).
Experience processing complex technical documentation such as engineering manuals, specifications, technical artifacts, tables, and figures.
Strong proficiency in Python and modern ML frameworks, including PyTorch and Hugging Face Transformers.
Demonstrated experience converting unstructured text into structured, machine-actionable knowledge.
Currently holds an active U.S. national security clearance or be able to receive and maintain one.

Technologies

Python
PyTorch
Hugging Face Transformers
BERT

Benefits

Paid Time Off
Paid Company Holidays
Medical, Dental & Vision Insurance
Optional HSA and FSA
Base and Voluntary Life Insurance
Short Term & Long-Term Disability Insurance
401k Matching
Employee Assistance Program

Physical Requirements

Prolonged periods sitting at a desk and working on a computer.
Must be able to lift up to 15 pounds at times.

Clearance Requirements

Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.

EEOC & Know Your Rights

Lyntris companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs.

Preferred Qualifications (Not Required)

Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
Experience deploying and maintaining production-scale NLP or LLM applications.
Familiarity with vector databases, embedding models, and semantic retrieval systems.
Experience with document parsing, OCR, layout-aware models, or multimodal document understanding.
Experience working with engineering, manufacturing, aerospace, defense, or other highly technical datasets.
Knowledge of MLOps practices, model monitoring, CI/CD pipelines, and cloud-based AI infrastructure.
Active-duty military experience.

View full job page →

1mo ago

AI Engineer / Data Scientist

Vibotek LLC St. Louis, MO

St. Louis, MO

1mo ago Closed

Full time Artificial Intelligence Cloud Platform Data Architecture

This position is no longer accepting applications (closed Aug 21, 2026).

Job Description

Vibotek LLC seeks an experienced AI engineer and data scientist to lead the architecture, design, and development of a cloud-native, configuration-driven, event-based platform for healthcare payer workflows and Payment Integrity systems in St. Louis, MO onsite.

Responsibilities

Drive full lifecycle engineering programs from concept to delivery
Set architectural direction and contribute hands-on across modules
Design and implement scalable metadata-driven and rule-engine platforms
Collaborate with product, architecture, and business stakeholders to align roadmaps
Mentor engineers, enforce engineering best practices, and uphold quality standards

Requirements

8+ years of software engineering experience
Proficiency in Python or Java
Background with configuration-driven platforms and rule engines
Strong SQL and NoSQL database knowledge
Hands-on experience with Kafka and event-driven architectures
Experience with AWS services: EKS, ECS, Lambda, S3, RDS, DynamoDB
CI/CD, Docker, Kubernetes, GitOps experience
Healthcare domain expertise with a focus on Payment Integrity

Technologies

Python
Java
SQL
NoSQL
Kafka
AWS (EKS, ECS, Lambda, S3, RDS, DynamoDB)
CI/CD, Docker, Kubernetes, GitOps
Oracle
Windsurf
GitHub Copilot
Cursor
Payment Integrity Platforms
Qwen
Gemma
Llama
Claude
Gemini
Codex

Role overview

Role overview: A strong Lead Engineer to drive the architecture, design, and development of a cloud-native, configuration-driven, event-based platform that supports healthcare payer workflows and Payment Integrity systems.

Preferred Experience

Autonomous agents
Tool-calling workflows
Multi-agent architectures
Local or private AI deployments
Advanced AI reasoning and orchestration
Hands-on experience with modern AI models such as Qwen, Gemma, Llama, Claude, Gemini, Codex
Kafka and Payment Integrity experience is required

Key skills

Python
Oracle
Kafka
Windsurf
GitHub Copilot
Cursor
Payment Integrity Platforms

View full job page →

Language Model Data Jobs

Machine Learning Engineer

AI Engineer / Data Scientist

Get Language Model Data Jobs alerts