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Mistral Jobs in Raleigh, NC (NOW HIRING)

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

... Mistral, etc. • Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams. • Demonstrate proficient experience with machine learning ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

... Mistral, etc. • Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams. • Demonstrate proficient experience with machine learning ...

Pwc

AI Engineer

Raleigh, NC

$50K - $112K/yr

... Mistral, and Gemma, for local and cloud deployment using quantization, inference acceleration, and model-routing techniques - Designing agent harnesses and implementing context engineering, memory ...

New

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc. * Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc. * Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc. * Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with ...

All JobsMistral JobsMistral Jobs in Raleigh, NC

Mistral information

See Raleigh, NC salary details

$14.6K

$234.6K

$376.2K

How much do mistral jobs pay per year?

As of Jul 29, 2026, the average yearly pay for mistral in Raleigh, NC is $234,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $194,400.00 and $291,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mistral Engineer, and why are they important?

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 Mistral jobs?

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.
What are popular job titles related to Mistral jobs in Raleigh, NC? For Mistral jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Mistral jobs in Raleigh, NC look for? The top searched job categories for Mistral jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Mistral jobs? Cities near Raleigh, NC with the most Mistral job openings:
Mistral jobs near you
Infographic showing various Mistral job openings in Raleigh, NC as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, 3% Contract, and 2% Nights. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $234,559 per year, or $112.8 per hour.

Senior Data Scientist III

LexisNexis

Raleigh, NC • On-site

Full-time

Re-posted 11 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

187th of 488 rated business services

Job description

Job Summary:
LexisNexis Legal & Professional, part of RELX, provides information-based analytics and decision tools for professional and business customers. They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze large datasets, and mentor junior team members.
Responsibilities:
• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
• Leading the development of advanced AI and machine learning models to solve complex business problems.
• Analyzing large datasets to identify patterns and trends that can inform AI development.
• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
• Evaluating and creating new frameworks and defining methodologies and governance.
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
• Working with product leaders to apply data science solutions.
• Leading small- to medium-sized teams (direct or indirect).
Qualifications:
Required:
• Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.
• Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
• Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
• Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
• Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
• Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
• Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
• Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
Company:
LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate businesses. It is a sub-organization of RELX. Founded in 1970, the company is headquartered in Albany, USA, with a team of 10001+ employees. The company is currently Late Stage.

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