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Mistral Jobs in Silver Spring, MD (NOW HIRING)

Rohirrim, Inc.

Senior AI Engineer

Mclean, VA · On-site

$120 - $150/hr

Experience with fine-tuning or instruction-tuning open-source LLMs (LLaMA, Mistral, etc.). * Knowledge of secure-by-design principles and air‑gapped or FedRAMP-compliant deployment environments.

Amivero

AI Engineer

Reston, VA · On-site

Preferred : • Active DHS Clearance • Experience with AWS Bedrock, Amazon OpenSearch, and broader AWS AI/ML ecosystem. • Experience working with foundation models such as Claude, Llama, Mistral ...

Rohirrim, Inc.

Senior AI Engineer

Mclean, VA · On-site

$105K - $145K/yr

Experience with fine-tuning or instruction-tuning open-source LLMs (LLaMA, Mistral, etc.). * Knowledge of secure-by-design principles and air-gapped or FedRAMP-compliant deployment environments.

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Showing results 21-40

All JobsMistral JobsMistral Jobs in Silver Spring, MD

Mistral information

See Silver Spring, MD salary details

$15.5K

$249.4K

$400.1K

How much do mistral jobs pay per year?

As of Aug 17, 2026, the average yearly pay for mistral in Silver Spring, MD is $249,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $206,800.00 and $310,100.00 per year, depending on experience, location, and employer.

What is a Mistral?

Mistral jobs refer to roles related to Mistral, which can indicate either a workflow orchestration service in IT or positions at Mistral AI, a company specializing in artificial intelligence and large language models. In the context of workflow orchestration, Mistral jobs involve creating, managing, and monitoring automated workflows, often in cloud or DevOps environments. At Mistral AI, jobs can include research, software engineering, and AI model development. Responsibilities usually focus on building scalable, efficient systems or advancing state-of-the-art machine learning technologies.

What are the key skills and qualifications needed to thrive as a Mistral engineer?

To thrive as a Mistral Engineer, you need a solid background in software engineering, machine learning, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience with distributed systems, and version control tools such as Git are typically required. Strong problem-solving skills, collaboration, and adaptability help individuals excel in this dynamic, innovative environment. These competencies are crucial for driving advancements in AI technology and delivering robust, scalable solutions.

What are some typical challenges faced by Mistral engineers when integrating AI models into production environments?

Mistral engineers often encounter challenges such as ensuring model scalability, managing latency, and maintaining robust security when deploying AI models into production. They must frequently collaborate with data scientists, DevOps, and product teams to fine-tune models, monitor real-world performance, and address unexpected behavior. Staying updated with rapid advancements in machine learning frameworks and cloud infrastructure is also crucial. Effective communication and agile problem-solving are key to overcoming these hurdles and delivering reliable AI solutions.

What is the difference between Mistral vs Data Scientist?

AspectMistralData Scientist
Required CredentialsTypically requires a background in engineering, physics, or related fields; certifications are optionalRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentOften works in research labs, tech companies, or startups focusing on AI and machine learningWorks in various industries including finance, healthcare, and tech, analyzing data to inform decisions
Employer & Industry UsageUsed mainly in AI research and development, especially in natural language processingWidely used across industries for data analysis, predictive modeling, and business insights

While both Mistral and Data Scientists work with advanced technology, Mistral typically focuses on AI research and development, often requiring a strong engineering background. Data Scientists analyze data to generate insights across industries. The roles overlap in technical skills but differ in focus and application.

What are popular job titles related to Mistral jobs in Silver Spring, MD?

For Mistral jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Mistral jobs in Silver Spring, MD look for?

The top searched job categories for Mistral jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Mistral jobs?

Cities near Silver Spring, MD with the most Mistral job openings:

Mistral jobs near you
Infographic showing various Mistral job openings in Silver Spring, MD as of August 2026, with employment types broken down into 83% Full Time, 7% Part Time, and 10% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $249,446 per year, or $119.9 per hour.

Senior Cyber AI Operations Engineer (Onsite)

System One

Washington, DC • Remote

Contractor

Re-posted 12 days ago

Job description

Cyber Artificial Intelligence Operations Engineer 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship is required Must be able to pass enhanced background screen (criminal, financial, drug) for Public Trust clearance Long Term Multi-Year Contract W-2 or C2C Application deadline: 7/10/2026 We are seeking a Cyber Artificial Intelligence Operations Engineer with experience implementing artificial intelligence (AI) solutions for cybersecurity purposes. The ideal candidate will have experience working with a variety of AI technologies and models and will have exceptional working knowledge on the architecture and design requirements to implement AI solutions that support cybersecurity operations (e.g., intrusion detection, intrusion prevention, incident response, vulnerability analysis, security tests and evaluations, etc.). This position will require the successful candidate to work as part of a fusion team that includes cybersecurity practitioners to develop and deliver AI-enabled cybersecurity tools and capabilities. Key Responsibilities: • Participate in the delivery of cyber-AI solutions as part of an integrated team that includes traditional AI engineers, AI operators, and cybersecurity subject matter experts all working together to deliver AI-enhanced cybersecurity capabilities. • Design, implement, deploy, maintain, and evolve AI-enhanced cybersecurity solutions that support a broad range of functions including intrusion detection, intrusion prevention, incident response, insider risk, vulnerability analysis, threat hunting, cyber threat intelligence, and security test and evaluation activities. • Instrument AI systems for cybersecurity activities with observability and controllability. • Monitor the performance of AI systems designed for cybersecurity purposes and ensure effectiveness. • Analyze, fine-tune and optimize the performance of the AI systems that are designed to support cybersecurity purposes and mission needs • Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity capabilities to include metrics and technical reports. Required Qualifications: • 5+ years of experience in AI, data science, software engineering, with knowledge of data structures that support AI and cybersecurity practices • 2+ years of experience in a security, information security, or cybersecurity field that involves the defense of technical systems • Proficiency with AI infrastructure components, automation tools, and scripting languages such as Python, Bash • Familiarity with one or more of the AI frameworks and tools such as AWS Bedrock and Sagemaker, Transformer, TensorFlow, PyTorch, and Langchain/Llamaindex • Familiarity with open source LLM models, such Llama, Mistral • Experience in fine-tuning LLM models • Knowledge of AI design patterns • Bachelor’s degree in Computer Science, Information Systems, or other related field is required or related work experience Preferred Qualifications: • Hands-on experience with DevSecOps and CI/CD practices • Experience in AWS cloud architecture design and operation • Experience in Terraform, Dockers Kubernetes, and/or Gitlab • Demonstrated effective change champion and ability to work effectively with others (including remote employees) to deliver complex, critical strategic IT initiatives • Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance. • Strong problem-solving and analytical skills • Excellent communication and documentation skills #M1 #LI-VH1 Ref: #851-Rockville-S1