Hybrid Machine Learning Engineer

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About the role

  • ML Engineer at Marvik designing and implementing state-of-the-art AI solutions. Tackling real-world challenges with Python, LLMs, and Deep Learning.

Responsibilities

  • Willing to take ownership of machine learning projects that include state-of-the-art solutions
  • Participating in the research and design of new solutions and complex architectures
  • Being proactive in proposing new tools, solutions, and methodologies
  • Working with object trackers deployed in edge hardware, using the latest NLP models, building generative models for image and video, work with the latest libraries and frameworks (LangChain, Diffusers, TensorRT, etc)

Requirements

  • Experience in software development roles
  • Knowledge of popular machine learning techniques and algorithms
  • Experience in NLP, Computer vision, LLMs or Predictive Analytics
  • Advanced English
  • Good communication skills, proactive and eager to take on new challenges and learn new things
  • Good interpersonal skills and teamwork interests.
  • Familiarity with Scrum or Agile methodologies
  • Required tools: Python, Tensorflow, Docker, SQL, AWS (or GCP, Azure), Git
  • It’s a plus: Experience in Pytorch and DevOps, experience with Raspberry Pi or Jetson devices
  • Experience leading teams

Benefits

  • Challenging projects
  • Use state of the art machine learning algorithms and techniques
  • Opportunity to join a growing startup with multiple professional development opportunities
  • Work on stuff other people only read about
  • Excellent work environment, full of highly motivated and talented young professionals.
  • Opportunity to work on-site and remotely.

Job title

Machine Learning Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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