Machine Learning Software/DevOps Engineer - (Bio background)

Company Overview: A pioneering AI company, recognized for its innovative research and strong collaborations with global leaders in technology and prestigious educational institutions.

The company specializes in cutting-edge AI solutions and has a proven track record of rapid growth and significant industry partnerships.

Role Overview: theyare seeking a skilled Machine Learning Software/DevOps Engineer to join our expanding team in Paris.

The successful candidate will collaborate with researchers and engineers to develop and deploy scalable machine learning libraries and tools, bridging the gap between research and real-world applications.

Key Responsibilities:

1. Computational Tasks:

   • Execute computationally intensive tasks using distributed computing systems (CPUs, GPUs, TPUs, Cloud).
   • Utilize high-performance computing frameworks for efficient data processing and model training.

2. Design and Development:

   • Design and develop scalable machine learning libraries and algorithms.
   • Implement and optimize models and tools to support and accelerate ongoing research initiatives.

3. Collaboration and Integration:

   • Maintain high-quality, maintainable, and modular code, with comprehensive documentation.
   • Work closely with research and product teams to integrate new research findings into practical applications.

Qualifications:

Essential:

• M.S./Ph.D. degree in Computer Science, Machine Learning, or a related field.
• Proficiency in Deep Learning frameworks (e.g., PyTorch, TensorFlow, Jax).
• Strong software engineering skills, including experience with Python3 and another compiled language (e.g., C++), object-oriented programming, unit testing, profiling, CI, and Docker.
• Experience with high-performance computing methods and frameworks (e.g., MPI, Ray) for distributed systems.
• Familiarity with DevOps and cloud technologies (e.g., GCP, Docker, Kubernetes).
• An understanding of Cheminformatics, in structural biology or molecular dynamics is required 

Preferred:

• 2-5 years of experience in areas such as Reinforcement Learning, Computer Vision, or Natural Language Processing.
• Authored scientific publications in AI-related fields, especially bioinformatics or computational biology.

IF YOU ARE AN AI  CANDIDATE WITH NO BIO BACKGROUND PLEASE REACH OUT TO IZAAK BASHIR (LinkedIn).