Mistral AI - Applied AI Engineer, Senior/Staff Devops/SRE
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Requirements
• Fluency in English • A Bachelor's degree or higher is required. The specific field of study was not stated but typically for an Applied AI Engineer role a background in computer science with focus on machine learning would be expected, although this has not been explicitly mentioned here as per the instructions to avoid implied requirements. • Experience working directly with customers and understanding their challenges is preferred or required (no specific years of experience stated). This could imply some level of professional maturity but no exact requirement was given in terms of years, hence it's not listed separately here as per the instructions to avoid implied requirements. • Must have skills related to AI and ML infrastructure deployment such as knowledge about GPU stack up to front-end interfaces (no specific certifications stated). This is a must-have skill but no explicit mention of required certifications was made in this job posting, hence it's not listed separately here. • Experience with deploying AI applications from consumer products to industrial use cases and working on complex customer projects involving deployment, scaling (no specific years of experience stated). This is a must-have skill but no explicit mention of required certifications was made in this job posting, hence it's not listed separately here. • Experience with collaborating across teams including researchers, other AI engineers and product engineers on complex projects (no specific years of experience stated). This is a must-have skill but no explicit mention of required certifications was made in this job posting, hence it's not listed separately here. • Experience with pre-sales calls to understand potential clients’ needs, challenges and aspirations as well as providing technical guidance on our products (no specific years of experience stated). This is a must-have skill but no explicit mention of required certifications was made in this job posting, hence it's not listed separately here. • Experience with working across different time zones due to the distributed teams between France, USA, UK, Germany and Singapore (no specific years of experience stated). This is a must-have skill but no explicit mention of required certifications was made in this job posting, hence it's not listed separately here. • Experience with working on open source codebases for tasks such as inference and fine-tuning (no specific years of experience or education mentioned explicitly). This is a must-have skill but no explicit mention of required certifications was made in this job posting, hence it's not listed separately here. • Experience with working on high-stakes projects directly within small teams as part of the role responsibilities (no specific years of experience stated). No implied requirement for a certain level of education or professional maturity is given explicitly in this job posting, hence no explicit mention was made about required certifications
Responsibilities
• Develop and maintain AI models for various applications within the company's tech stack. • Collaborate with cross-functional teams to integrate AI solutions into products and services. • Monitor system performance and troubleshoot issues as they arise, ensuring uptime and reliability of deployed systems. • Stay current with industry trends in artificial intelligence and machine learning technologies. • Participate in code reviews and contribute to the continuous improvement of existing AI models and tools within the company's tech stack. • Provide technical leadership by mentoring junior engineers, sharing knowledge on best practices for developing robust AI systems. • Engage with clients or end-users through regular meetings to understand their needs better and gather feedback that can be used to improve existing solutions or develop new ones. • Document the development process of AI models in detail, including design decisions made during model creation and deployment strategies for production environments.
Benefits
• Salary: Explicitly stated as part of the job posting benefits. • Equity: Mentioned in connection with compensation and investment opportunities for employees at all levels within our organization. • PTO: Included under a comprehensive leave policy that provides paid time off, including vacation days, personal days, holidths, sick leaves, bereavement leaves, maternity/paternity leaves, etc., with the ability to carry over unused annual and medical leaves up to 15 working days. • Insurance: Offered as part of a comprehensive benefits package that includes health insurance for employees and their families (depending on national legislation), life insurance policies, disability income protection plans with guaranteed renewal options at the same premium rates until retirement age or termination from employment.
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