Pwrteams welcomes a technology-focused Machine Learning Engineer to become a valuable member of the project team of our client, a leading company in the mining industry.
About our 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
- 24 working days of paid vacation
- 11 paid national holidays
- Health care: up to 10 paid sick days, on-demand medical insurance, vaccinations
- Mental health support: webinars, resources, and compensation for therapy sessions
- Access to our corporate learning platform
- Language classes (English)
- Flexible benefits budget: a fixed monthly amount you can spend on what matters most to you: medical insurance, sports, leisure, fuel, and more
- 8-hour workday aligned with the client's working hours
- Hybrid work options: work from home with the option to use our cozy office space whenever needed
- Engaging team events and thoughtful gifts throughout the year
More about Pwrteams
Pwrteams is a pioneering force in connecting individuals across tech projects, harnessing their combined strengths to drive innovation. Since 2007, we have been in the vanguard of assembling cross-border IT and engineering teams strategically positioned within Eastern European's dynamic tech ecosystems to cater to the global business landscape. We're at the forefront of travel, media and fintech innovation, healthcare efficiency enhancements, and others. Our goal? To make a meaningful difference worldwide. Become a part of our distinguished team and discover your potential to pioneer transformative solutions for tomorrow!