Project description

We're seeking a dedicated MLOps/Dataset Engineer to join our team. This role involves iterative dataset improvements, auto-annotation, large-scale data scanning, and constructing robust infrastructure around our machine learning models, with a particular focus on computer vision and related tasks.

Responsibilities

Design and develop large-scale infrastructure to support auto-annotation engines for optimizing computer vision datasets

Collaborate closely with internal and external data annotation teams and services to enhance dataset production

Create, deploy, and automate ML pipelines, ensuring an efficient transition from model training to deployment

Monitor model performance and manage models and datasets versioning to bolster operational efficiency

Participate in end-to-end development, from problem statement and data aggregation to model design, experiments, deployment, and iterative improvement automation

Skills

Must have

BS, MS, or PhD in Machine Learning, Computer Science, Electrical Engineering, or a related field

Minimum 3 years of experience in MLOps, with a focus on computer vision applications, including building, deploying, and monitoring ML models

Proficiency in Python

Proven experience with ML pipeline tools and services, such as Kubeflow/SLURM, MLflow, Weights and Biases, TFX, Airflow, Vertex AI, Dataflow, DVC etc.

Familiarity with standard deeplearning tools and libraries, e.g. Pytorch, OpenCV, Tensorflow, CVAT, Albumentations, Cleanlab etc.

Hands-on experience with large-scale data and datasets management for computer vision tasks

Experience in integrating with and utilizing external and internal data annotation services

Knowledge of active learning, semi-supervised learning, and general data-centric approaches to maintain robustness in visual data analysis

Demonstrated experience in automating machine learning pipelines and understanding of MLOps best practices

General understanding of DL models development and their deployment process on both embedded platforms such as Nvidia Jetson and various cloud inference solutions

Nice to have

Demonstrated expertise in developing robust auto-annotation tools for visual data

Experience with multi-task model training and semi-supervised DL model training on video data

Proven track record

significant industry experience and/or publications at venues such as ICRA, RSS, IROS, or CVPR

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

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Luxoft Benefits*

Global Relocation

●Relocation options **
●Experience in an international environment
●Cross-cultural experience

Recognition and Evaluation

●Feedback culture
●Regular appraisals

Time Off***

●Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority
●Occasional leave - 1 or 2 days/ depending on the circumstances
●Child care leave - 2 days or 16 hours per year
●Absence due to force majeure - 2 days or 16 hours per year
●Maternity Leave - 20 weeks
●Parental Leave - 41 weeks
●Paternity Leave - 14 days

Luxoft Training Center

●Expert-led tech courses covering basic to advanced topics
●Internal instructor-led soft skills courses
●Comprehensive in-house self-learning resources for both soft and hard skills
●Access to external self-learning libraries like ProQuest eBook and Udemy for Business
●Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy
●Custom Learning Programs: upskilling, reskilling, technical mentorship
●Leadership Programs for Managers

Well-being and Work-life Balance

●Multisport card
●Possibility to order Multisport card at the corporate rate for family members
●LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.
●One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners
●Preferential banking offer
●Preferential car leasing offer
●Cafeteria program discounts for shops, cinema tickets, holiday offers
●Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support

Health Care

●Private Healthcare Insurance with unlimited access to specialists
●Full dental support
●Travel Insurance
●Possibility to add private healthcare coverage for family members at the corporate rate
●Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer
●Reimbursement for corrective glasses

Company Events and Friendly Environment

●Many fun social activities organized by the Luxoft team offline in your city
●Online entertainment events for whole company and local team events
●A workplace where you’re treated with respect within a multicultural team

Internal Mobility

●Rotation between projects and accounts
●New career opportunities

Self-Learning Library

CSR Projects

*The acquisition of rights to the above benefits depends on the form of cooperation. Benefits apply to those employed under a contract of employment.

**Please note that relocation is not available for all open positions. At Luxoft Poland it is possible to work remotely only from the territory of Poland.

***Options offered by the Polish government.

Remote Poland, Poland

Req. VR-113739

AI/ML

Automotive Industry

20/08/2025

Req. VR-113739

Apply for Senior ML Ops Engineer in Remote Poland

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