Senior Machine Learning Engineer

We are seeking a skilled and motivated Senior ML Engineer to join our dynamic team at Quantori. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in ML/AI and data science to tackle complex scientific and business challenges. As a key member of our team, you will contribute to the development and application of cutting-edge computational methods and algorithms, enabling our clients to gain valuable insights from their data. You must be passionate about ML and data science, and be able to work in a fast-paced and dynamic work environment. We expect you to be a versatile and flexible team player, with a strong can-do attitude and great communication skills.

Location:

Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.

Responsibilities:

  • Engage with clients to understand their business requirements and provide expert advice on leveraging ML and AI technologies to solve their problems
  • Design end-to-end ML solutions that address client needs, considering factors such as data acquisition, preprocessing, feature engineering, model selection, and deployment 
  • Architect scalable and reliable ML systems that can handle large volumes of data and real-time processing. Ensure the solutions are robust, secure, and scalable, taking into account performance, latency, and cost optimization
  • Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts to deliver successful ML projects
  • Stay up-to-date with the latest advancements in ML, AI, and related technologies, identifying opportunities for innovation and differentiation
  • Conduct research and experimentation to explore new ML algorithms, techniques, and frameworks that can enhance the company's offerings
  • Present findings and results to internal teams and external stakeholders in a clear and concise manner

What we expect:

  • 3+ years of experience as an ML Engineer or Data Scientist, either in academia or industry
  • Proficient in Python programming and experience with Python data science frameworks. Strong programming skills with proven experience in implementing Python-based machine learning solutions
  • Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn)
  • Solid knowledge of machine learning and deep learning fundamentals
  • Experience with transformer-based language models
  • Ability to interpret and implement research ideas and algorithms
  • Hands-on experience with relational SQL and NoSQL databases
  • Upper-Intermediate or higher level of English proficiency
  • Ability to work with external clients and strong communication skills, including presenting in webinars and conferences
  • Ability to mentor team members and assist in their professional development
  • Quick learner with the ability to adapt to new technologies, frameworks, and algorithms

Nice to have:

  • Experience with designing complex multi-model and multi-modal ML applications and products
  • Solid foundation in development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and online deployment of models
  • Experience with cloud-based tools and technologies for data pipelining, model development, and deployment, particularly AWS (Amazon Web Services)
  • Familiarity with AI/ML operational tools such as Airflow, MLFlow, H2O, etc.
  • Experience with MLOps tools and frameworks like Jupyter Notebook, Kubernetes, Kubeflow, Spark, etc.
  • Experience in building scalable AI/ML systems for continuous training automation, computer vision, natural language processing, or similar advanced AI/ML problems
  • Engineering experience in model tuning using CUDA/OpenCV, C++, low-level Python scripts, etc.
  • Up-to-date publications in the areas of deep learning, distributed computing, bioinformatics, or other life sciences
  • Domain knowledge of biology and/or chemistry

We offer:

  • Competitive compensation
  • Remote or office work
  • Flexible working hours
  • Healthcare benefits: medical insurance and paid sick leave
  • Continuous education, mentoring, and professional development programs
  • A team with an excellent tech expertise
  • Certifications paid by the company
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If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to career@quantori.com. We will try to find something special and interesting for you!