Machine Learning Engineer
Cyclad•📍 Warszawa
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 ServicesOffice location: WarsawBudget: 140 -- 160 PLN net/h on b2bWork model: Hybrid (2 days/week in the office)Project length: Long-termOnly candidates with citizenship in the European Union and residence in PolandStart date: ASAP (depending on candidate's availability)Project scope:Script production-ready codesLeveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML WorkloadsArchitect, automate and orchestrate Dev-Ops/ ML-Ops pipelines on cloudCraft re-usable tools and frameworks to monitor, optimize and maintain ML solutionsDesign and implement data engineering pipelines (ETL)Understand business problems and collaborate within the team to ensure scalability, business continuity and appropriate turnaround timeConduct internal workshops and external meetups, participate in external conferences, and give talksContinuously evolve your craft by keeping up to date with the new developments in AI/ML and related technologies and upskilling on these as neededCollaborate with Data Scientists, Domain Experts, and Product Owners to build and deploy the end-to-end AI ProductsCompetence demands:A bachelor's or master's degree in Computer Science, Operations Research, Mathematics, and Computing with 3-4 years of relevant experienceExperience in working with large data sets, coming from varied sourcesExcellent Programming Skills in PythonExperience with containerization (Docker) and container orchestration using KubernetesExperience in Cloud Application Development (Google Cloud Platform & Azure Preferred)Great at solving problems, debugging, troubleshooting, and designing & implementing solutions to complex technical issuesExperience designing, building, and maintaining ETL workflows and data pipelines, using orchestration tools like Apache Airflow, Kubeflow, or similarProficiency with DevOps practices, including CI/CD, Git-based workflowsComfortable working in Unix/Linux environmentsHands on experience of designing, building, and supporting RESTful APIsWorking knowledge of machine learning and deep learning concepts, and experience supporting model deployment and monitoringVery good English skillsNice to have:Understanding of Deep learning platforms such as Keras, TensorFlow, and/or PyTorchUnderstanding of key Machine Learning & Deep Learning AlgorithmsKnowledge of Oilfield terminology and business practicesExperience with IoT/ Edge technologyRecognized open-source contributionsFamiliarity with data engineering tools (Flink/Spark/Kafka etc.)Experience with big data stack (Spark, Hadoop, Storm, Hive & Pig) and NoSQL storesWe offer:Hybrid working model (2 days/week in the office in Warsaw)Collaboration with senior engineers and cross-functional AI teamsDynamic and innovation-driven engineering environmentFull-time job agreement based on b2bPrivate medical care with dental care (covering 70% of costs)Multisport card (also for an accompanying person)Life insurance
Hybrydowy · 3 dni w domu· Warsaw 💰od 140 zł
2 tygodni temu
