Senior Data Scientist II
Raleigh, NC · On-site
... Mistral, Phi family. Knowledge of advanced prompting techniques and agent-based solutions • Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient ...
Senior Data Scientist II
Raleigh, NC · On-site
... Mistral, Phi family. Knowledge of advanced prompting techniques and agent-based solutions • Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient ...
Senior Data Scientist II
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 ...
Senior Data Scientist II
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 ...
Hands-on experience applying LLMs such as ChatGPT, GPT-4/3.5, Claude, or Mistral in applied or production-adjacent environments. * Experience designing agentic or multi-agent LLM workflows for ...
Hands-on experience applying LLMs such as ChatGPT, GPT-4/3.5, Claude, or Mistral in applied or production-adjacent environments. * Experience designing agentic or multi-agent LLM workflows for ...
Senior Data Scientist II
$104K - $174K/yr
Haveexperience 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 ...
Senior Data Scientist II
$104K - $174K/yr
Haveexperience 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 ...
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 ...
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 ...
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 ...
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 ...
Mistral information
See Raleigh, NC salary details
$14.6K - $47.5K
2% of jobs
$47.5K - $80.3K
2% of jobs
$80.3K - $113.2K
6% of jobs
$113.2K - $146.1K
5% of jobs
$146.1K - $178.9K
2% of jobs
$195.4K is the 25th percentile. Wages below this are outliers.
$178.9K - $211.8K
14% of jobs
The median wage is $238.4K / yr.
$211.8K - $244.7K
22% of jobs
$244.7K - $277.6K
13% of jobs
$289.3K is the 75th percentile. Wages above this are outliers.
$277.6K - $310.4K
22% of jobs
$310.4K - $343.3K
7% of jobs
$343.3K - $376.2K
3% of jobs
$14.6K
$234.5K
$376.2K
How much do mistral jobs pay per year?
As of Jun 11, 2026, the average yearly pay for mistral in Raleigh, NC is $234,545.00, 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.
Which 3 jobs will survive AI?
Mistral jobs that require complex human interaction, creative problem-solving, or specialized expertise are more likely to survive AI automation. Roles such as healthcare professionals, skilled tradespeople, and creative designers rely on nuanced judgment and emotional intelligence that AI cannot replicate fully. These jobs often involve critical thinking, adaptability, and hands-on skills that remain essential in the workforce.
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 kind of company is Mistral?
Mistral is a company that develops advanced AI and natural language processing technologies. It focuses on creating large language models and AI solutions for various applications, often requiring expertise in machine learning and data science.
How much does Mistral pay?
The salary for a Mistral role varies depending on the position, experience, and location. Entry-level positions typically start around industry standard rates, while more experienced roles can pay significantly higher. It is advisable to review specific job postings for detailed compensation information.
What is a $900,000 AI job?
A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.
What is the difference between Mistral vs Data Scientist?
| Aspect | Mistral | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires a background in engineering, physics, or related fields; certifications are optional | Requires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are common |
| Work Environment | Often works in research labs, tech companies, or startups focusing on AI and machine learning | Works in various industries including finance, healthcare, and tech, analyzing data to inform decisions |
| Employer & Industry Usage | Used mainly in AI research and development, especially in natural language processing | Widely 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:
- Associate Electrical Engineer
- Electrical Engineering Consultant
- Senior Electrical Engineer
- Commission International Electrical Engineer
- Part Time Electrical Machine Design Engineer
- Junior Altium Designer
- Contract Biomass Engineer
- Work From Home Thin Film Process Engineer
- Junior Electric Vehicle Engineer
- Remote Offshore Electrical Engineer
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:
Full-time
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LexisNexis rating
7.6
Based on 12 frontline employees who took The Breakroom Quiz
150th of 426 rated business services
Job description
Job Summary:
LexisNexis is a leading provider of legal, regulatory, and business information. They are seeking a Senior Data Scientist II to design, develop, and deploy AI solutions, lead the development of advanced AI and machine learning models, and mentor junior data scientists.
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
• Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of data
• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
• Designing APIs for disseminating data science outputs to various business units.
• Overseeing the scaling of production systems to meet growing demands.
Qualifications:
Required:
• 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.
• Have experience and knowledge of applying LLMs including models of GPT, Claude, Mistral, Phi family. Knowledge of advanced prompting techniques and agent-based solutions
• 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.
• Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
• Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
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.
LexisNexis is a leading provider of legal, regulatory, and business information. They are seeking a Senior Data Scientist II to design, develop, and deploy AI solutions, lead the development of advanced AI and machine learning models, and mentor junior data scientists.
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
• Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of data
• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
• Designing APIs for disseminating data science outputs to various business units.
• Overseeing the scaling of production systems to meet growing demands.
Qualifications:
Required:
• 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.
• Have experience and knowledge of applying LLMs including models of GPT, Claude, Mistral, Phi family. Knowledge of advanced prompting techniques and agent-based solutions
• 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.
• Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
• Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
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.