Mistral

1 week ago

Applied AI, Forward Deployed Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Deploy production-ready GenAI and LLM applications with measurable business impact across industries, collaborating with researchers and product engineers on advanced fine-tuning, RAG, and agentic use cases. Work with the Applied AI team’s enterprise customers from pre-sales through implementation, providing technical guidance, explaining Mistral technologies, and improving product capabilities based on customer feedback.

Location: Munich

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Individually help deploy production use cases with business impact across industries.
•Build and ship state-of-the-art GenAI applications, from consumer products to industrial use cases.
•Collaborate on complex customer projects involving fine-tuning and advanced LLM application work, including contributions to open-source inference and fine-tuning.
•Participate in pre-sales calls to understand customer needs and provide technical guidance and product explanations.
•Partner with product and science teams to continuously improve product and model capabilities based on customer feedback.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

•2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
•Proven experience implementing AI/ML products with APIs and back-end/front-end interfaces.
•Experience fine-tuning LLMs and tackling advanced RAG or agentic use cases.
•Strong understanding of machine learning and LLM algorithms and underlying concepts.
•Strong Python coding skills and communication to explain complex technical concepts to technical and non-technical audiences.

Experience:2+ yearsAI-based productsGenAILLMsRAGAgentic use casesOpen source

Skills:CommunicationCollaborationCustomer engagementProblem-solving

Languages:English

Tech Stack:PythonAPIsLLMsGenAIRAGFine-tuningInferencePyTorch

Company Brief

Mistral

Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn

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Mistral

1 week ago

Applied AI, Forward Deployed Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Location: Munich

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Individually help deploy production use cases with business impact across industries.
•Build and ship state-of-the-art GenAI applications, from consumer products to industrial use cases.
•Collaborate on complex customer projects involving fine-tuning and advanced LLM application work, including contributions to open-source inference and fine-tuning.
•Participate in pre-sales calls to understand customer needs and provide technical guidance and product explanations.
•Partner with product and science teams to continuously improve product and model capabilities based on customer feedback.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

•2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
•Proven experience implementing AI/ML products with APIs and back-end/front-end interfaces.
•Experience fine-tuning LLMs and tackling advanced RAG or agentic use cases.
•Strong understanding of machine learning and LLM algorithms and underlying concepts.
•Strong Python coding skills and communication to explain complex technical concepts to technical and non-technical audiences.

Experience:2+ yearsAI-based productsGenAILLMsRAGAgentic use casesOpen source

Skills:CommunicationCollaborationCustomer engagementProblem-solving

Languages:English

Tech Stack:PythonAPIsLLMsGenAIRAGFine-tuningInferencePyTorch

Company Brief

Mistral

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn