Lead Machine Learning Engineer
6 days ago
SLS Services Limited seeks a highly skilled Lead Machine Learning Engineer to join our team and drive innovation in AI and machine learning solutions. As a key member of our interdisciplinary team, you will work at the forefront of chemistry, robotics, and software engineering, leveraging your expertise to build and improve computational tools that complement our integrated platform.
Key Responsibilities:You will design, develop, and implement AI and machine learning solutions that address complex problems in the field of chemistry and robotics. This includes preparing, processing, cleaning, and annotating datasets for machine learning development, influencing data ingestion engines to ensure pristine and well-annotated data is systematically acquired from laboratory or third-party sources, and benchmarking and rapidly iterating on deterministic and AI/Deep Learning methods for template-based and template-free retrosynthesis.
- Develop and implement algorithms for chemical space exploration and optimize synthetic campaigns.
- Collaborate with software engineers to integrate AI and machine learning capabilities into software products.
- Presentation of data and recommendations to the executive team and customers, internal and external.
- A PhD degree in Data Science/AI, Computer Science, Cheminformatics, Bioinformatic, or equivalent professional experience.
- Successful development and deployment of AI/ML/DL based tools in high-value applications.
- Deep domain expertise in applied mathematics and primitives used in AI/ML/DL.
- Cross-functional inclination to partner with strong software engineers.
- Knowledge of cheminformatics and retrosynthesis.
- Strong proficiency with ML toolkits (PyTorch, TensorFlow, Scikit-Learn, etc) and deployment of software on high-performance compute clusters.
- Understanding of the latest AI research and ability to efficiently implement these systems.
- Proficiency with cloud platforms like AWS for ML applications.
- Keen interest in chemistry and willingness to learn chemical concepts fast.
- Proficiency in contemporary software engineering approaches, including CI/CD, version control, and unit testing.
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