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Senior Machine Learning Engineer (Computer Vision)

From Data & Machine Learning department

Ongoing

PLN 18 000 - 26 000

Before Tax (Business Contract)

PLN 15 000 - 21 700 Gross (Employment Contract)

Click for the details

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Please contact us via hi@netguru.com in case of any issues.

Our mission at Netguru is to help entrepreneurs and innovators shape the world through beautiful software. We care about trust, taking ownership, and transparency. As a Certified B Corporation®, we offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback. If you want to work from home and be a full time employee, great! We want to create the right opportunities for you.

  • Required skills: 2+ years of experience in Python, including familiarity with NumPy, Pandas and scikit-learn, openCV, OOP and SOLID principles, CI and GIT workflow, English B2+.
  • We offer: 100% remote work, flextime & flexplace, dev-friendly processes, long-term collaboration.

About our team:

  • We work on bespoke Machine Learning and Computer Vision solutions.
  • We conduct weekly seminars to share knowledge about MLOps and new research papers.
  • We write world-class python code and make use of advanced features of PyCharm Pro.
  • We use GCP or more convenient alternatives and dedicated servers with GPUs.
  • We work shoulder to shoulder with highly-skilled Data Engineers when designing and implementing data pipelines.
  • We take ownership of building machine learning systems - from brainstorms and design with Machine Learning Canvas, through PoC, to implementation of production-ready solutions.
  • We work on our models iteratively; we start from simple baselines and avoid waterfall plans for huge ML systems.
  • We closely cooperate with a cross-functional team of great software engineers and product designers.

Apply if you have:

  • 2+ years of experience in Python, including familiarity with: NumPy, Pandas and scikit-learn,
  • experience working with openCV,
  • experience working with deep learning libraries (TensorFlow or PyTorch),
  • understanding of the theoretical concepts behind Machine Learning and Computer Vision,
  • understanding OOP and SOLID principles, CI and GIT workflow (code versioning, code review and pull requests),
  • experience working with Agile,
  • the ability to communicate freely in spoken and written English (CEFR B2+).

Nice to have:
  • experience working AWS, GCP, Azure or Docker,
  • experience with developing Computer Vision solutions on mobile platforms (iOS or Android),
  • knowledge of C++, Data Versioning and S3 storage,
  • familiarity with mobile Augmented Reality frameworks like ARKit or ARCore, Sage Maker.

What will happen next?

  • You will get an e-mail from our recruitment team with the information whether your experience matches the requirements.
  • If your profile will be match to us - we will invite you for hr call.
  • We want to check your practical skills :) You will receive a task to solve within a certain deadline.
  • The next step will be technical intreview.
  • For all of those who complete the previous step – we’ll also invite you to a short interview with Team Leader.

Perks & benefits:

  • Access to the WorkSmile platform offering benefits adapted to your preferences:
    • Multisport card,
    • Private health insurance package,
    • Life insurance,
    • And hundreds of other options to choose from 15 categories (shopping, leisure, travel, food, etc.)
  • Support for your growth,
  • Discounts on Apple products,
  • One-time 1000 PLN home office bonus,
  • Various internal initiatives: webinars, knowledge sharing sessions, internal conferences.

Learn more about the additional support we offer for Ukrainian citizens or those who have decided to relocate to Poland due to military action in Ukraine (regardless of their nationality) - click here. We hope that this assistance will help you feel safe and welcomed in our country.

If you need any disability-related adaptation at any step of the recruitment process – simply let the recruiter know! We'd be happy to help.