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Mistral Jobs (NOW HIRING)

Experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc. Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark). Experience ...

Mistral). • Implement RAG (Retrieval-Augmented Generation); vector databases; embeddings; and prompt‐engineering strategies. • Collaborate with product; engineering; and domain teams to ...

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance. • ...

Experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc. Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) Experience ...

Proven track record deploying and optimizing open-source LLMs (e.g., LLaMA, Mistral) in non-cloud, restricted, or air-gapped private infrastructures * Deep Framework Proficiency: Heavy hands-on ...

Develop, tune, and deploy applications leveraging major LLMs (OpenAI, Gemini, Claude, Llama, Mistral, HuggingFace ecosystem). * Engineer prompts, system instructions, and reusable prompt templates ...

New

Senior Data Scientist

Bentonville, AR · On-site

$120 - $140/hr

Machine Learning, GenAI (ChatGPT, Mistral), LLMs * Other Tools: MS Copilot, Element (optimization), Wibey * Core Areas: * ML and Optimization (Mathematical Optimization, Mixed Linear/Integer ...

Proficient with LLM APIs - OpenAI, Anthropic, Gemini, and open-source models (LLaMA, Mistral, Falcon) * Experience with vector search , semantic similarity, and embedding strategies (OpenAI ...

Showing results 41-60

Mistral information

See salary details

$15K

$241.3K

$387K

How much do mistral jobs pay per year?

As of Aug 11, 2026, the average yearly pay for mistral in the United States is $241,295.00, according to ZipRecruiter salary data. Most workers in this role earn between $200,000.00 and $300,000.00 per year, depending on experience, location, and employer.

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 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 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 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.
More about Mistral jobs
What cities are hiring for Mistral jobs? Cities with the most Mistral job openings:
What states have the most Mistral jobs? States with the most job openings for Mistral jobs include:
Infographic showing various Mistral job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 1% Part Time, and 11% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $241,295 per year, or $116 per hour.

Senior Data Scientist Level-2

Compunnel

Raleigh, NC • On-site

Contractor

Posted 12 days ago


Job description

JOB SUMMARY
Senior Data Scientist II will leverage advanced analytical skills to extract insights from complex datasets. The expertise will drive data-driven decision-making and contribute to the development of innovative solutions. This position will collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis.
Key Responsibilities
Experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
Experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).
Experience with coding skills in Python or another programming language.
Be experienced in mentoring, training, and acting as a subject matter expert to guide colleagues.
Required Qualifications
8+ years of total experience
5+ most recent in Data Scientist experience (working with different LLM tools, RAG DEPLOYMENTS (not just pipelines/enhancements), agentic, generative AI
Data Science experience related to building a customer facing product
Strong Python programming skills
Experience/exposure to maintain production support alongside a team of engineers

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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