Posted:2 months ago|
Platform:
Work from Office
Full Time
Requirements Experience in the life science domain or a related field is preferable 4+ years of experience in AI/ML engineering, with a track record of handling increasingly complex projects. Expertise in one or more of the following AI/ML domains: Causal AI, Reinforcement Learning, Generative AI, NLP, Dimension Reduction, Computer Vision, Sequential Models. Expertise in building, deploying, measuring, and maintaining machine learning models to address real-world problems. Thorough understanding of software development lifecycle, DevOps (build, continuous integration, deployment tools) and best practices. Strong programming skills in Python, Scala, Go, Rust or other languages. Excellent written and verbal communication skills and interpersonal skills. Experience with MLOps platforms, such as Kubeflow or MLFlow. Experience with ML frameworks, such as scikit-learn, Tensorflow, PyTorch. Experience with GenAI tools, such as Langchain, LlamaIndex, and open source Vector DBs.
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My Connections AVE-Promagne Business Solutions
Business Consulting and Services
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