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ML Ops Engineer
17000 - 24000 PLN netto + vat (B2B)
Poznań,Londyn, Częściowo zdalnie
Full-time
Firma:
eREKRUTER ITWielkość firmy:
Brak informacjiZespół:
100
Wymagania
Senior
- DevOps
Regular
- Python
- Machine Learning
- Microsoft Azure
Minimalna liczba lat doświadczenia w IT: 4
Opis pracy
The Role
- We are looking for a highly skilled and motivated ML Ops Data Engineer to join our team and spearhead the creation and implementation of ML Ops capabilities within our organization. As a ML Ops Data Engineer, you will be responsible for building and managing the infrastructure necessary to optimize data pipelines, streamline model deployment, and enhance the overall efficiency of our machine learning systems. You will collaborate with cross-functional teams to identify ML Ops requirements, develop a roadmap, and execute strategies to deliver tangible business outcomes.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Proven experience as a Data Engineer or ML Ops Engineer, preferably in a cloud-based environment.
- Strong knowledge / hands on experience of machine learning principles, algorithms, and frameworks.
- Proficiency in Python and experience with relevant libraries such as pandas, NumPy, and Apache Spark.
- Experience in designing and developing Data Engineering pipelines across different paradigms such as batch, event driven and streaming using relevant tools
- Hands-on experience with cloud platforms specifically Azure, Databricks
- Experience with Microservice architecture, Models as a Service and RESTful APIs
- Experience in developing production-level ML applications
- Experience with DevOps/ML Ops principles
- Familiarity with containerization technologies like Docker, Kubernetes.
- Solid understanding of software development principles, version control systems (e.g., Git), and CI/CD methodologies.
- Strong database skills, including proficiency in SQL and experience with both SQL and NoSQL database systems.
- Experience with data visualization tools such as Power BI is a plus.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Company - Clarksons is the world’s leading provider of integrated shipping and offshore services, bringing our connections and experience to an international client base. Our intelligence adds value by enabling clients to make more efficient and informed decisions. Our global reach, local knowledge and expertise is what makes us unique.
We are remote first software as a service (SaaS) company, bringing true digital transformation to the global shipping industry. We enhance the way shipping professionals work by creating technology for the maritime industry and bringing it to market.
What you can expect
Despite our dynamic growth, we managed to maintain a relaxed and enjoyable atmosphere of a tightly-knit team that can implement complex projects comprehensively and effectively. Each of us knows what is expected from us and has adequate space and freedom of action.
The actual work is important, but it’s also essential for us at Setapp that we all stay happy, relaxed and motivated. That’s why we provide a wide range of benefits to all of our employees:
- Training budget
- Private medical care (Luxmed)
- Voluntary group life insurance
- MyBenefit or Multisport card
- Language courses (English and German)
- Mentoring program and numerous internal pieces of training
- Employee referral program
- Paid days off from services (B2B)
- A paid day off to care for your health - “Dzień na U” with Fundacja Rak'n'Roll. Wygraj życie!
Integration events, joint company trips, birthday celebrations and many other
What we offer
Salary: 17 000 to 24 000 PLN/month (B2B)
Flexible working hours
You choose how you work - from our office in Poznań or remotely from home, or like most of us, work hybrid :)
Strong focus on growth, interesting projects & people who enjoy working with each other! :)
Wymagane języki
angielski C1
Specyfikacja pracy
Elastyczne godziny pracy
Podróże służbowe
Biuro czynne
8-20
Narzędzia pracy
laptop
komputer stacjonarny
dodatkowy monitor
ML Ops Engineer
17000 - 24000 PLN netto + vat (B2B)
Jak to działa?
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