Mistral

2 weeks ago

AI Deployment Strategist, Science - EMEA

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Drive adoption and deployment of science-focused AI solutions for customer projects, from executive vision workshops to production implementation. Lead the design of end-to-end solutions in domains like computer vision, robotics, and embodied AI, partnering with Applied AI and Research teams for prototypes and scalable deployments. Own science-heavy pilots and proofs-of-value, track KPIs tied to outcomes, and support expansion opportunities while bridging feedback into research/product roadmaps.

Location: Paris, Amsterdam, Munich, London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead executive-level workshops to identify science-specific business challenges and opportunities for AI-driven improvements in vision, robotics, embodied AI, and specialized domains.
•Co-create AI adoption roadmaps and develop business cases with Account Executives, quantifying ROI and aligning with customer objectives.
•Architect end-to-end AI solutions and integrate Mistral models and platform into science-specific workflows and technical infrastructure.
•Partner with Applied AI and Research teams to design, prototype, and deploy science-focused AI solutions in production, including scalability and impact.
•Own science-heavy pilot projects and proofs-of-value, monitor KPIs, communicate progress to executives, and travel (~30-60%) for on-site deployment support.

Travel: High travel

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

•2+ years in a client-facing technical role (e.g., data science consulting, research engineering, or technical sales) with strong AI science domain background like computer vision, robotics, or embodied AI.
•Degree in a scientific field (e.g., Computer Science, Robotics, Physics, Mathematics); PhD is a plus.
•Deep technical knowledge of AI/ML/Data Science with specialization in science domains, and credibility to advise highly technical audiences.
•Hands-on experience building and deploying science-focused AI applications using Python, C++, or similar.
•Strong business acumen and communication skills to translate complex technical concepts into business value for senior stakeholders.

Experience:2+ yearsAI scienceComputer visionRoboticsEmbodied AI

Education:

Skills:CommunicationProblem-solvingExecutive presenceBusiness acumenLeadership through influence

Tech Stack:PythonC++LLMsAI/MLData ScienceComputer visionRoboticsEmbodied AI

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

2 weeks ago

AI Deployment Strategist, Science - EMEA

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Paris, Amsterdam, Munich, London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Lead executive-level workshops to identify science-specific business challenges and opportunities for AI-driven improvements in vision, robotics, embodied AI, and specialized domains.
•Co-create AI adoption roadmaps and develop business cases with Account Executives, quantifying ROI and aligning with customer objectives.
•Architect end-to-end AI solutions and integrate Mistral models and platform into science-specific workflows and technical infrastructure.
•Partner with Applied AI and Research teams to design, prototype, and deploy science-focused AI solutions in production, including scalability and impact.
•Own science-heavy pilot projects and proofs-of-value, monitor KPIs, communicate progress to executives, and travel (~30-60%) for on-site deployment support.

Travel: High travel

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

•2+ years in a client-facing technical role (e.g., data science consulting, research engineering, or technical sales) with strong AI science domain background like computer vision, robotics, or embodied AI.
•Degree in a scientific field (e.g., Computer Science, Robotics, Physics, Mathematics); PhD is a plus.
•Deep technical knowledge of AI/ML/Data Science with specialization in science domains, and credibility to advise highly technical audiences.
•Hands-on experience building and deploying science-focused AI applications using Python, C++, or similar.
•Strong business acumen and communication skills to translate complex technical concepts into business value for senior stakeholders.

Experience:2+ yearsAI scienceComputer visionRoboticsEmbodied AI

Education:

Skills:CommunicationProblem-solvingExecutive presenceBusiness acumenLeadership through influence

Tech Stack:PythonC++LLMsAI/MLData ScienceComputer visionRoboticsEmbodied AI

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