ML Engineer

At Link Group we build tech teams for Fortune 500 companies and the hottest startups in the world. We run many different projects for which we are looking for experienced and talented candidates for clients from various industries.

If you join us, we will make sure that the offer is tailored to your needs. We want you to receive tasks that match your interests, meet your financial expectations and, above all, will allow you to develop in the professional field.

Currently, we are looking for ML Engineers to join our teams and work on the most advanced, innovative and diverse projects on the IT market.

The project you will join is from the finance/stock exchange industry. Our client creates a web portal to manage financial accounts and make financial investments. Our Agile teams strive to use the latest technologies that ensure an appropriate level of security.

Tech stack:

Python, TensorFlow/PyTorch, Scikit-learn, Docker, Kubernetes, CI/CD, SQL, Git

Responsibilities:

• Designing, developing, and deploying reliable Machine Learning models in a production environment;

• Building and maintaining ML pipelines (MLOps) for training, testing, and continuous deployment;

• Working on ambitious projects using the best technologies and standards;

• Generating and maintaining your code in accordance with the coding standard and best practices;

• Investigating, debugging, and delivering fixes for critical production incidents;

• Researching on the latest technologies to meet future business needs

Requirements:

• At least 3 years of professional experience in Machine Learning Engineering or related role;

• Strong programming skills, especially in Python;

• Experience with core ML libraries and frameworks (e.g. TensorFlow, PyTorch, Scikit-learn);

• Experience with containerization tools (Docker) and orchestration (Kubernetes);

• Knowledge of version control tools, especially Git;

• Practical knowledge of MLOps principles and CI/CD practices;

• Good English level

Nice to have:

• Experience with cloud platforms (Azure, AWS, or GCP) for ML services;

• Knowledge of SQL and database concepts;

• Familiarity with distributed computing frameworks (e.g. Spark)

We offer:

• Private healthcare

• Sport card

• Foreign languages classes

• Life insurance

• Cafeteria system