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Mistral Jobs in Perry Hall, MD (NOW HIRING)

Northern Base

AI Tech Lead

Owings Mills, MD · On-site

Experience working with Snowflake hosted LLM Model Garden (Claude, Llama, OpenAI, Mistral, Arctic, etc.). * Familiarity with LLM evaluation methodologies, benchmarking, and model performance ...

Tata Consultancy Service Limited

AI Tech Lead

Owings Mills, MD · On-site

$125K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Mistral, Arctic etc) will be a plus. § Familiarity with LLM model evaluation methodologies. § Working experience in Snowflake managed / custom MCP servers. § Strong experience working with GIT and ...

All JobsMistral JobsMistral Jobs in Perry Hall, MD

Mistral information

See Perry Hall, MD salary details

$14.3K

$230.4K

$369.5K

How much do mistral jobs pay per year?

As of Aug 17, 2026, the average yearly pay for mistral in Perry Hall, MD is $230,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $191,000.00 and $286,500.00 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 job categories do people searching Mistral jobs in Perry Hall, MD look for?

The top searched job categories for Mistral jobs in Perry Hall, MD are:

What cities near Perry Hall, MD are hiring for Mistral jobs?

Cities near Perry Hall, MD with the most Mistral job openings:

Mistral jobs near you
Infographic showing various Mistral job openings in Perry Hall, MD as of August 2026, with employment types broken down into 80% Full Time, 11% Part Time, and 9% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $230,409 per year, or $110.8 per hour.

AI Tech Lead

Northern Base

Owings Mills, MD • On-site

Full-time

Posted 24 days ago

Job description

Role: AI Tech Lead
Location: Owings Mills, MD (Onsite)
Employment Type: Full-Time
Visa Type: Not Specified

Must-Have Qualifications:

• 10–15 years of overall experience in AI, Data Engineering, or Software Development.
• 5+ years of hands-on experience with Snowflake AI Data Cloud.
• 2+ years of proven experience building LLM-powered applications and Agentic AI workflows.
• Strong hands-on experience with Snowflake Cortex AI services including Cortex Analyst, Cortex Search, AI SQL, Vector Embedding, and related AI capabilities.
• Experience developing scalable, data-centric applications using Snowpark Container Services and Python.
• Hands-on experience building conversational AI and agentic applications using Snowflake Intelligence and natural language prompts.
• 3+ years of strong programming experience with Python and SQL.
• Experience working with Snowflake hosted LLM Model Garden (Claude, Llama, OpenAI, Mistral, Arctic, etc.).
• Familiarity with LLM evaluation methodologies, benchmarking, and model performance optimization.
• Experience working with Snowflake Managed MCP Servers and Custom MCP Servers.
• Strong experience with Git, version control, and CI/CD pipelines.
• Experience working in Agile/Scrum product development environments.
• Strong understanding of enterprise AI application architecture and deployment.
• Excellent analytical, troubleshooting, communication, and stakeholder management skills.
• Bachelor's Degree in Computer Science or a related field.

Preferred Qualifications:

• Experience with enterprise AI architecture and AI platform engineering.
• Experience designing scalable Agentic AI solutions.
• Exposure to enterprise cloud platforms and AI deployment best practices.

Key Responsibilities:

• Design, develop, and deliver enterprise AI Agents based on business requirements.
• Lead AI development teams in an onsite-offshore delivery model.
• Build LLM-powered applications using Snowflake Cortex AI and Snowflake Intelligence.
• Develop scalable AI applications using Snowpark Containers and Python.
• Design conversational AI workflows leveraging multiple LLM models.
• Collaborate with customers and business stakeholders to gather requirements and define AI solutions.
• Drive technical architecture, solution delivery, and AI engineering best practices.
• Manage stakeholder communication and ensure successful project delivery.

Required Skills:

Snowflake AI Data Cloud, Snowflake Cortex AI, Cortex Analyst, Cortex Search, AI SQL, Vector Embedding, Snowpark Containers, Snowflake Intelligence, Agentic AI, LLM, Python, SQL, Claude, Llama, OpenAI, Mistral, Arctic, MCP Server, Git, CI/CD, Agile, AI Architecture, Enterprise AI

Send Profiles To: jeyan.g@northern-base.com

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