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Wanted: ML Engineer

We are currently seeking a ML Engineer to join our products team at Agmis

What you'll do:

At Agmis, we build tech that solves real-world operational challenges.

Now our spinoff Scanwatch is in need of a Machine Learning Engineer who could help us take our tools to the next level: faster processing, optimized algorithms, and highly scalable and flexible architecture.

Let’s talk and see if we can help each other grow!

  • Develop and train computer vision and deep learning models used in automated quality inspection software
  • Build and maintain ML workflows from data processing to production deployment
  • Automate our workflow to minimize repetitive manual tasks
  • Improve real-time image/video defect detection and analytics
  • Work with diverse datasets
  • Deploy and monitor models in cloud or on-prem environments
  • Collaborate with engineers and product teams in an Agile setup

What we expect:

  • 4+ years of experience with Python in ML/Data Science
  • Experience with PyTorch, OpenCV
  • Experience with object classification, detection and segmentation models training, benchmarking, and deployment
  • Experience with REST APIs and a basic understanding of real-time or socket communication
  • The ability to architect end-to-end ML systems: how models fit into the broader application, scaling, latency, cost, and reliability
  • Production MLOps experience: model deployment, serving, versioning, and rollback
  • CI/CD pipelines for ML workflows and reproducible training
  • Cloud infrastructure on AWS or GCP (compute, storage, managed ML services)
  • Containerization and orchestration (Docker, Kubernetes)
  • Eagerness to build and maintain real-time machine learning applications
  • Ability to use your technical knowledge creatively

What you can expect:

  • It’s an exciting opportunity to be a part of a fast-growing, dynamic, innovative company
  • You’ll enjoy adventures with the team: team retreats, workation trips, and just fun games at the office
  • Flexibility: you can work from home, from the office, or mix it up; you will have flexible working hours as well
  • Learning: you’ll have coverage of any certificates you decide to take on, various seminars and internal events, as well as experienced colleagues who’ll be there to support you
  • Health insurance after 9 months;
  • Gross salary from 3000 to 6000 eur/month, depending on skills and experience.

Usually our hiring process follow
these three smooth steps:

Usually our hiring process follow
these three smooth steps:

1
First Interview
Your first interview with HR and your future manager is our opportunity to get to know you better. We’re eager to learn about your experiences, skills, and what motivates you.
2
Second Interview
It's time to roll up your sleeves. We'll present you with a task or host a technical interview that reflects the real challenges we tackle. It’s not about perfection, we’re eager to see your unique approach and problem-solving skills in action.
3
Offer
Congratulations, you did it! Now’s the moment for a virtual high-five and a warm welcome aboard. In this stage we’ll go over the last details, ensure you’re comfortable with every step, and gear you up for an exciting journey ahead.
Please note that each position and candidate is individual, for some
positions and candidates the hiring process may vary.
Please note that each position and candidate is individual, for some
positions and candidates the hiring process may vary.

Core values

Our strongly-held values foster a work environment with close-knit, well-bonded teams. This unique culture results in low turnover rates, an exceptional work-life balance, and a setting that nurtures both professional growth and enjoyable experiences.
Build trust
Build a culture of mutual trust and openness among teams, managers, and clients.
Celebrate personality
Create an open environment to express yourself and celebrate individuality.
Advise, not criticise
Learn from failures and provide constructive advice that turns “no” into “not yet”.
Design for tomorrow
Strive to deliver future-proof solutions, which will provide long-term value for customers and end-users.

Fancy this opportunity?

You can apply by writing a message to:

Eglė Aleksandravičiūtė
HEAD OF HUMAN RESOURCES
Kamilė Paukštė
HUMAN RESOURCES SPECIALIST

At Agmis, we deliver tailored computer vision solutions across a range of industries including: manufacturing, construction, retail, and beyond. By leveraging state-of-the-art video monitoring and advanced AI technologies, we equip businesses with the tools needed to analyze, track, measure, and derive actionable insights that align with their unique goals.

Get acquainted with our products:

EasyODM machine vision software is designed to detect defects and ensure flawless production across various industries.

The Scanwatch AI-driven loss prevention system safeguards your retail business by preventing fraud, minimizing losses, and streamlining checkout processes ensuring your store is future-ready.