Offer summary

Qualifications:

3-5 years of experience as an ML Engineer, preferably in the Gaming industry., Proficient in ML frameworks such as TensorFlow, Scikit-Learn, and Pytorch., Strong background in MLOps practices including CI/CD, Docker, and Kubernetes., Experience with model training, versioning, monitoring, and observability frameworks..

Key responsabilities:

Develop large-scale distributed machine learning systems that are scalable and efficient.

Collaborate with cross-functional teams to deploy and integrate machine learning models.

Liaise with business units to address their machine learning needs and manage the cross-BU ML portfolio.

Optimize feature extraction, transformation, and selection while ensuring platform reliability and cost efficiency.

Job description

We are looking for a ML Engineer to work closely with the ML Architect to develop on ML frameworks (TensorFlow, Scikit-Learn, Pytorch), Experimentation platform and tools.

This role has the responsabilities to:

Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
Collaborating with cross-functional teams to help deploy/integrate machine learning models.
Liaise with the BUs for their ML needs and work on the cross-BU ML portfolio.
Optimize feature extraction, transformation and selection.
Work with and manage.
Feature Stores for reusability across ML pipelines.
Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities

Requirements

3-5 years of experience as an ML Engineer preferably with a Gaming industry background.
Experienced with ML frameworks (TensorFlow, Scikit-Learn, Pytorch).
Experienced with Model training, versioning and monitoring.
Strong background in MLOps practices, including CI/CD, containerization (Docker), orchestration frameworks (Kubernetes, Airflow), model serving tools (AWS SageMaker, Databricks MLFlow), model observability frameworks, automation and feature stores.

Benefits

The Things We Really Care About:

Flexible working hours
Mindera Annual Trip, Sports, and sharing groups to connect and have fun!
Training & conferences, create your own training plan
Choose Laptop & Peripherals that best suit your needs

Most of all you get to work with a bunch of great people, where the whole team owns the project together in a politics-free environment. Our culture reflects our lean and self-organization attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. Freedom and Responsibility go hand in hand, and we value commitment, feedback, and empathy.

About Mindera

At Mindera we use technology to build products we are proud of, with people we love.

Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera.

We partner with our clients, to understand their products and deliver high-performance, resilient, and scalable software systems that create an impact on their users and businesses across the world.

You get to work with a bunch of great people, where the whole team owns the project together.

Our culture reflects our lean and self-management attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication.

We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment.

Check out our Blog and our Handbook!

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