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Remote Python Llm Jobs in Bethesda, MD (NOW HIRING)

10a Labs

Senior Cyber Investigator

Washington, DC · Remote

$114K - $140K/yr

Query internal data sources using SQL and Python and cross-reference open-source information (OSINT ... Familiarity with LLM systems and how AI technology can be misused for cyber operations, including ...

Eliassen Group

ETL Data Engineer

Tysons, VA · Remote

$70 - $88/hr

Description: Hybrid 3 days onsite / 2 days remote in Mclean, VA Our client seeks an ETL Data ... The role spans Spark-based ETL on AWS data lake platforms and development of LLM-powered agents ...

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How much do remote python llm jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote python llm in Bethesda, MD is $62.74, according to ZipRecruiter salary data. Most workers in this role earn between $51.73 and $71.25 per hour, depending on experience, location, and employer.

What is a remote Python LLM?

A Remote Python LLM job typically involves working with large language models (LLMs) like GPT or similar AI technologies using the Python programming language, while operating remotely. Professionals in this role develop, fine-tune, and deploy machine learning models, especially those focused on natural language processing (NLP) tasks. Responsibilities may include building Python applications that integrate with LLMs, data preprocessing, and collaborating with teams across different locations. The remote aspect allows for flexible work arrangements and access to global opportunities.

What are some common collaboration methods used by remote Python LLM engineers when working with cross-functional teams?

Remote Python LLM engineers frequently collaborate with data scientists, product managers, and other developers through virtual meetings, code reviews, and shared documentation platforms. Tools like Slack, GitHub, and Jira are often used to ensure smooth communication and project tracking, despite working across different time zones. Regular stand-ups and sprint planning sessions help align objectives and keep everyone updated on progress. Proactive communication and clear documentation are key to overcoming the challenges of remote, distributed teamwork in this role.

What are the key skills and qualifications needed to thrive as a remote Python LLM engineer?

To thrive as a Remote Python LLM Engineer, you need strong proficiency in Python programming, experience with large language models (LLMs), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and version control systems like Git is typically required. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills ensure you can develop, deploy, and maintain advanced language models efficiently while working independently in distributed teams.
What job categories do people searching Remote Python Llm jobs in Bethesda, MD look for? The top searched job categories for Remote Python Llm jobs in Bethesda, MD are:
What cities near Bethesda, MD are hiring for Remote Python Llm jobs? Cities near Bethesda, MD with the most Remote Python Llm job openings:
Remote Python Llm jobs near you

Senior Data Engineer -- Azure / Fraud Analytics

Info Gain Consulting

Mclean, VA • On-site, Remote

$123K - $163K/yr

Full-time

Posted 16 days ago

Job description

Location: Remote / Telework (U.S. based) · Occasional on-site collaboration as requested Job Type: Full-time Clearance: Must be able to obtain and maintain a Public Trust background investigation Citizenship: U.S. Citizenship requiredAbout the RoleWe are hiring a Senior Data Engineer to build and maintain the Azure-based data architecture that powers fraud analytics for a federal Office of Inspector General (OIG). You will design integrated, flexible, and secure pipelines that move source data into a modern cloud environment and make it available for audits, investigations, and machine learning.
You’ll work code-first — source control, CI/CD, and reusable modular design are core to how this team operates. If you enjoy owning architecture end to end and partnering with data scientists to make ML pipelines fast and reliable, this role is for you.What You’ll Do
  • Design, implement, and maintain an efficient, secure, stable, and flexible data architecture, with all assets managed via source control
  • Migrate source data to Azure Data Lake Storage (ADLS) and build/maintain ELT/ETL pipelines in Azure Synapse and Azure Machine Learning (SDK V1 and V2)
  • Review and improve existing architecture and pipelines — periodic audits to address bottlenecks, deprecated dependencies, and architecture drift
  • Establish quality controls, error handling, logging, and validation checks across all pipelines
  • Normalize entity attributes (addresses, phone numbers, and other common fields)
  • Optimize ingestion, processing, and storage across diverse datasets, including modern columnar formats such as Parquet
  • Build self-service capabilities so analysts can query and export data for investigations and audits
  • Partner with data scientists to ensure the architecture efficiently supports machine learning workloads
  • Author and maintain SOPs governing authoring, validation, publishing, execution, and monitoring of all pipelines and assets
  • Produce detailed documentation — data dictionaries, ER diagrams, and pipeline process maps
  • Stay current with emerging AI tooling and contribute to efforts evaluating automation and LLM-assisted capabilities
Required Qualifications
  • 5 years of hands-on experience in each of:
    • Maintaining SQL databases and conducting advanced operations in SQL and T-SQL
    • Designing, implementing, and maintaining ELT/ETL processes in cloud-based data analytics environments
  • 3 years of hands-on experience in each of:
    • Working in Azure Synapse and Azure Machine Learning with the modern data stack — certifications preferred (DP-203 or equivalent)
    • Manipulating data in Python (Pandas required; PySpark/Polars preferred; experience with reusable, modular code preferred)
Preferred
  • Implementing pipelines and infrastructure using code-first approaches (Python SDK, CLI, REST APIs, or IaC tooling)
  • Implementing source control and CI/CD workflows
  • Demonstrated familiarity with AI coding assistants and LLM integration patterns
  • Azure certification (DP-203 or equivalent)
Work Schedule & Environment
  • Core hours between 6:00 a.m. and 6:00 p.m. local time, Monday–Friday
  • Telework authorized; occasional on-site meetings and collaboration as requested
  • Government-furnished equipment provided for work on government systems
  • Federal holidays observed