Machine Learning Engineer
In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced a Machine Learning Engineer, who will be responsible for guiding the successful development, automation and governance of AI/ML Solutions to the internal customers. The MLE will be responsible for collaborating with Data Scientists, Domain Experts and Product Owners to build and deploy the end-to-end AI Products for the company. The role will require working knowledge of Cloud, DevOps/ MLOps, Machine Learning, Deep Learning and Application Development. This position will also be involved in the formulation of key business requirements to be solved and rationalizing the various best practices to solve those problems.
Project information:
Type of project: IT Services
Office location: Warsaw
Budget: 140 - 160 PLN net/h on b2b
Work model: Hybrid (2 days/week in the office)
Project length: Long-term
Only candidates with citizenship in the European Union and residence in Poland
Start date: ASAP (depending on candidate's availability)
Project scope:
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
Collaborate with Data Scientists, Domain Experts, and Product Owners to build and deploy the end-to-end AI Products
Competence demands:
A bachelor's or master's degree in Computer Science, Operations Research, Mathematics, and Computing with 3-4 years of relevant experience
Experience in working with large data sets, coming from varied sources
Excellent Programming Skills in Python
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
Very good English skills
Nice to have:
Understanding of Deep learning platforms such as Keras, TensorFlow, and/or PyTorch
Understanding of key Machine Learning & Deep Learning Algorithms
Knowledge of Oilfield terminology and business practices
Experience with IoT/ Edge technology
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
We offer:
Hybrid working model (2 days/week in the office in Warsaw)
Collaboration with senior engineers and cross-functional AI teams
Dynamic and innovation-driven engineering environment
Full-time job agreement based on b2b
Private medical care with dental care (covering 70% of costs)
Multisport card (also for an accompanying person)
Life insurance