MLOps/Dataset Engineer

🔔 Are you already in Poland or ready to relocate? If YES this is the project for YOU!

Our benefits:

👩‍⚕️ Private Medical Care in Luxmed and Life Insurance

🏋️‍♀️ Multisport Card

👨‍👧‍👦 Paid referrals

📚 Self-learning libraries

🛫 Relocation package for seniors and assistance during all process...and MORE!

👉 Location: Remote in Poland

Working with team from USA - late hours meeting few days a week

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 data scanners and 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

Mandatory Skills Description:

- 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, MLflow, TFX, Airflow, Vertex AI, Dataflow, DVC etc.

- Familiarity with standard 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

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

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

Nice-to-Have Skills Description:

- Knowledge of active learning, semi-supervised learning, and other similar approaches for 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

- 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