Job Description
🔔 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