Mobica is hiring a

Senior Machine Learning Engineer

Full-Time
Remote

We are looking for a passionate Senior Machine Learning Engineer to develop robust solutions to real-world, large-scale problems that have a direct impact on the business. The ideal candidate will have extensive experience in ML Engineering and working in a product model using Scrum. As a Senior Machine Learning Engineer, you will own projects end-to-end, from conception to operationalization, demonstrating an understanding of the full ML model lifecycle. Strong communication skills are critical in this role to provide technical solutions and collaborate with your teammates.

Responsibilities:

  • Develop robust solutions to real-world, large-scale problems
  • Own projects end-to-end, from conception to operationalization
  • Provide technical solutions and collaborate with teammates
  • Design and implement scalable applications leveraging predictive models and optimization programs
  • Contribute to core advanced analytics and machine learning platforms and tools

Must Have:

  • 4+ years of relevant professional experience
  • Ability to write robust, maintainable, and extendable code in Python
  • Experience with SQL and Spark
  • Knowledge of applied data science methods and machine learning algorithms
  • Data wrangling experience with structured and unstructured data
  • Experience with cloud architecture and technologies (preferably AWS, Kubernetes, and Docker)
  • Familiarity with MLOps concepts
  • Background in mathematics, statistics, or computer science
  • Familiarity with principles of solution architecture and technical design
  • Effective communication skills (with team members, the business, and in code)

Nice to Have:

  • Experience working in a product model using Scrum
  • Enjoyment of a collaborative and academic environment
  • Experience mentoring and contributing knowledge and software back to the analytics and engineering communities

What you can expect from us?

  • Learning by doing – you will work with industry experts who are willing to share their knowledge and experience
  • Improving your skills by participating in training and mentoring programs
  • Advancing your career by choosing from different career paths (technical, management)
  • Broadening your horizons by working in an open and supportive multicultural environment
  • Commercial projects from the domain
  • Great atmosphere and supportive environment
  • Working in a friendly and relaxed atmosphere created by a lot of bonding events and activities

What do we offer?

  • Competitive salary adequate to your skills and performance
  • Flexible working hours
  • Training programs
  • Private medical insurance
  • Multisport program
  • English lessons
  • Company social events
  • Weekly cakes and fruits
  • Relocation assistance
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