Ml Ops Engineer

Il y a 6 mois

Paris, France Breega Temps plein

We are a dedicated team at the forefront of AI and chemistry, working to accelerate the energy transition. Our focus is on discovering new chemicals and materials that can lead to more sustainable practices in sectors where the need for change is most urgent. Specifically, we develop a modern generative AI platform to discover new catalysts that optimize chemical reactions, significantly reducing CO2 emissions and thus making a substantial impact on the environment.

As an early-stage AI-driven startup backed by significant funding (>5m), we base our approach on state-of-the-art academic research to drive practical business solutions. We value clear communication and simplicity in our approaches, promoting a constant optimization mindset.

Join Entalpic to be part of a growing team, eager to learn and adapt, united by the belief that our technology can make a significant positive impact and contribute to transforming carbon-intensive industries for a sustainable future.

Co-founders: Mathieu Galtier, Victor Schmidt, Alexandre Duval

**Mission Highlights**:
Your mission is to design, develop and maintain the backbone of our platform. As a centerpiece of Entalpic, you will be responsible for our cloud infrastructure and automation, from computational resources for AI research, to data storage and management. You will be embedded in the core of the team, interacting and developing with our machine learning scientists and engineers.

**Reporting Line & localization**:
You will report to the CTO of Entalpic and will be located in our Paris offices.

**Role & responsibilities**:
This position directly supports the company’s mission by ensuring robust, scalable, and efficient management of computational resources and data systems. The responsibilities include:
**Infrastructure Design and Implementation**: Develop and deploy scalable cloud infrastructure that supports high-performance computing for AI research and atomic simulations. This involves selecting the right mix of cloud services to meet the computational demands of the project.

**Data Management**: Design and implement systems for efficient data storage, retrieval, and organization to handle large datasets crucial for machine learning models and chemical research. This includes facilitating secure and IP-preserving data transfers from/to clients and collaborators.

**Performance Optimization**: Continuously monitor, analyze, and optimize the performance of the cloud infrastructure and data processes to reduce costs, energy and improve efficiency.

**Security, Recov**ery and Backup**: Develop and maintain robust security approach including disaster recovery plans and backup systems to ensure data integrity and availability.

**Documentation and Training**: Create comprehensive documentation for the cloud infrastructure and data management systems. Provide training and guidance to other team members to help them effectively utilize the technological resources.

**Collaboration and Support**: Work closely with machine learning and chemical scientists to understand their computational and data needs. Provide technical support and expertise to enhance their productivity and research outcomes.

**Expertise**:
**Cloud Computing**: Proficiency with major cloud service providers (e.g., AWS, Azure, Google Cloud) including experience with their respective services such as EC2, RDS, S3, VPC, Lambda, and Google Compute Engine.

**Programming and Scripting**: Strong programming skills, as well as proficiency in scripting for automation of cloud operations, data processing, and system deployments.

**Data Management and Storage**: Knowledge of SQL and NoSQL databases, data warehousing solutions, and data management best practices.

**Performance Optimization**: Skills in monitoring, troubleshooting, and optimizing cloud resources and database performance.

**Machine Learning/AI Infrastructure**: Familiarity with setting up and managing infrastructure for machine learning workloads, including GPUs and high-performance computing clusters.

**Security and Compliance**: Understanding of cybersecurity principles, including network security, encryption practices, and compliance frameworks relevant to cloud computing and data protection.

**Skills**:
**Communication**: Clear and effective communication skills to articulate complex technical details and requirements to non-technical team members, fostering understanding across disciplines.

**Teamwork**: Ability to work cooperatively in a diverse team environment, providing and receiving feedback constructively, and contributing to a positive team atmosphere.

**Problem-solving**: Strong analytical and problem-solving skills, capable of diagnosing and resolving issues swiftly to minimize downtime.

**Adaptability**: Comfortable with a fast-paced startup environment, able to adapt quickly to changes in technology and project priorities.

**Compensation & benefits**:
We are a no-nonsense startup, where we favor a sustainable c

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