Machine Learning Engineer

Overview

About Pwrteams:

Join our fast-growing and diverse team at Pwrteams, where we provide premium IT and engineering nearshore solutions to our global customers. Since 2007, we pursue to become the market leader in assembling cross-border IT and engineering teams for customers. Our operations are strategically positioned within Eastern Europe’s dynamic tech ecosystems, from where we cater the global business landscape. We're at the forefront of travel, media and fintech innovation, healthcare efficiency enhancements, and others. Our goal? To connect interesting customer projects and skilled talent alike. Become a part of our team and take the next step on your personal career journey.

About Client

Our client is a global mining company with a world-class portfolio of products that are used by a billion consumers every day. Our client relies on data and cutting-edge data science to enhance their operations. They also use advanced machine learning and artificial intelligence to optimize their processes.

Responsibilities

Develop, deploy, and maintain machine learning models and pipelines, ensuring high reliability and scalability.
Collaborate across teams to deliver ML solutions covering predictive analytics, time-series analysis, computer vision, NLP, and GenAI/large language models (LLMs).
Manage distributed data processing workloads using Apache Spark and Kubernetes.
Design and implement APIs for ML services, notably using FastAPI.
Containerize ML applications with Docker and manage CI/CD deployment pipelines.
Build and optimize data science pipelines, preferably with Kedro.
Utilize Azure cloud services, including AzureML python SDK, Azure Function Apps, and Azure Pipelines, for model deployment and monitoring.
Apply data science methodologies such as modeling, simulation, optimization, and time-series forecasting.
Aim for continuous improvement of models through experimentation, monitoring, and tuning.

Qualifications

Bachelor’s degree or higher in Computer Science, Data Science, Engineering, or related fields.
Strong programming skills in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).
Distributed data processing with Apache Spark and Kubernetes
Strong expertise with FastAPI, Docker, and deployment pipelines.
Solid understanding of ML fundamentals and data science principles.
Experience in developing and maintaining production-level ML solutions.
Proven track record in ML/DS engineering roles with a focus on scalable, production-ready systems.
Excellent problem-solving skills and effective communication across technical and non-technical stakeholders.
Upper-intermediate level of English

Desirable Experience

Hands-on experience with Kedro for DS pipelines.
Extensive usage of AzureML (esp. python SDK) and Azure Function Apps, Azure Pipelines.
Data Science Methodologies (modelling, simulation, optimization, time-series).
Background in time-series analysis, predictive analytics, computer vision, NLP, GenAI/LLMs are particular focus areas of the team.

Pwrteams Offers

Family-like environment and personal attention to each specialist
Direct cooperation with European and USA clients and their innovative products
Competitive salary and regular reviews
The work-life balance you deserve: 24 working days of paid vacations
Educational reimbursement, funded language classes, certifications
"Benefit Cafe with various categories like sport, leisure, books, fuel, etc.
Health care: 10 paid sick leaves, on-demand medical insurance, vaccinations
Cozy workplace and WFH opportunities
Exciting events and lovely gifts for your family

In your resume please allow our company to use your personal data

#PwrteamsCareers

Machine Learning Engineer

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