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  4. ML Engineer

ML Engineer

Remotely
Full-time
SQL scikit-learn AWS CUDA C++ Python nosql Machine Learning Keras OpenCV Kubernetes Spark Jupyter Notebook PyTorch

Company that provides AI/ML solutions for the clients in the life sciences domain is in search of experienced ML Engineer, located in the Canada, USA or Mexico. 


About the Role:

We're seeking a passionate and experienced ML Engineer to join our team. You'll be working directly with clients, designing and deploying custom ML solutions using cutting-edge technologies. 


Responsibilities:

  • Understand client business needs and advise on AI/ML solutions
  • Architect end-to-end ML systems, including data acquisition, preprocessing, model selection, and deployment
  • Develop scalable and reliable ML systems handling large datasets and real-time processing
  • Collaborate with data scientists, software engineers, and domain experts
  • Stay current with AI/ML advancements and identify innovative applications
  • Conduct research and experimentation on new ML algorithms and frameworks


Requirements:

  • 3+ years of experience in ML Engineering or Data Science
  • Expert in Python programming and data science frameworks
  • Familiarity with ML frameworks (PyTorch, Keras) and libraries (NumPy, scikit-learn)
  • Experience with LLM agents, RAG solutions, and code interpreters
  • Experience with LLM fine tuning
  • Strong understanding of machine learning and deep learning fundamentals
  • Experience with transformer-based language models
  • Hands-on experience with relational SQL and NoSQL databases


  • Upper-Intermediate or higher level of English proficiency
  • Excellent communication and presentation skills
  • Ability to mentor team members


Nice to Have:

  • Experience with complex multi-model and multi-modal ML applications
  • Solid foundation in data analytics systems development
  • Experience with AWS, Airflow, MLFlow, H2O, Jupyter Notebook, Kubernetes, Kubeflow, Spark
  • Expertise in continuous training automation, computer vision, natural language processing
  • Experience with model tuning using CUDA/OpenCV, C++, Python
  • Publications in deep learning, distributed computing, or life sciences
  • Domain knowledge of biology and/or chemistry