ML Engineer

Project overview

Opis projektu:

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.

Twój zakres obowiązków:

Nasze wymagania:

To oferujemy:

• 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.
• 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
• Ubezpieczenie na życie
• Spotkania integracyjne

Project details

• Start: flexible
• Remote: hybrid
• Location: Warsaw, PL