ML Engineer @ Ework Group

🔹For our Client we are looking for ML Engineer 🔹

Location: Warsaw, 2 days a week from the office

Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
We offer:

• B2B agreement
• Transparent working conditions with both Ework and the client
• Current support during our cooperation
• Possibility to work in an international environment
• Collaborative environment in Swedish organizational culture

Qualifications and Requirements

• A bachelor's or master’s degree in Computer Science, Operations Research, Mathematics and Computing with 3-4 years of relevant experience
• Experience of working with large data sets, coming from varied sources
• Excellent Programming Skills (Python Preferred)
• Experience with containerization (Docker) and container orchestration using Kubernetes
• Experience in Cloud Application Development (Google Cloud Platform & Azure Preferred)
• Great at solving problems; debugging; troubleshooting; and designing & implementing solutions to complex technical issues
• Experience designing, building, and maintaining ETL workflows and data pipelines, using orchestration tools like Apache Airflow, Kubeflow, or similar
• Proficiency with DevOps practices, including CI/CD, Git-based workflows
• Comfortable working in Unix/Linux environments
• Hands on experience of designing, building, and supporting RESTful APIs
• Working knowledge of machine learning and deep learning concepts, and experience supporting model deployment and monitoring

Good to have

• Understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch is highly desirable
• In-Depth Understanding of key Machine Learning & Deep Learning Algorithms
• Knowledge of Oilfield terminology and business practices
• Experience with IoT/ Edge technology is a plus
• Recognized open-source contributions
• Familiarity with data engineering tools (Flink/Spark/Kafka etc.)
• Experience with big data stack (Spark, Hadoop, Storm, Hive & Pig) and NoSQL stores is a plus

Behavioural Skills

• Creativity and ability to formulate problems and solve them independently
• Highly collaborative work style
• Strong listening and communications skills
• Presenting & communicating information
• Result and quality focused

🔹For our Client we are looking for ML Engineer 🔹

Location: Warsaw, 2 days a week from the office

Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.
With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.
By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.
We offer:

• B2B agreement
• Transparent working conditions with both Ework and the client
• Current support during our cooperation
• Possibility to work in an international environment
• Collaborative environment in Swedish organizational culture

,[ Script production-ready codes , Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads , Architect, automate and orchestrate Dev-Ops/ ML-Ops pipelines on cloud , Craft re-usable tools and frameworks to monitor, optimize and maintain ML solutions , Design and implement data engineering pipelines (ETL) , Understand business problems and collaborate within the team to ensure scalability, business continuity and appropriate turnaround time , Conduct internal workshops and external meetups, participate in external conferences, and give talks , Continuously evolve your craft by keeping up to date with the new developments in AI/ML and related technologies and upskilling on these as needed. ] Requirements: Python, Docker, Kubernetes, GCP, Azure, ETL, Airflow, Machine learning, Keras, TensorFlow, PyTorch, Spark, Kafka