Data & ML Engineer (Python)

7076
Data & ML Engineer

Data & ML Engineer

experience
4 years

Hybrid from:
Poland:
Warsaw❗️❗️❗️

Job Details
Technical Requirements
A bachelor's or master’s degree in Computer Science, Operations Research, Mathematics and Computing with 3-4 years of relevant experience.
Experience working with large data sets 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).
Strong problem‐solving, debugging, troubleshooting and solution‐design skills.
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 and Git‐based workflows.
Comfortable working in Unix/Linux environments.
Hands‐on experience 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, TensorFlow and/or PyTorch.
In‐depth understanding of key machine learning and 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.
Required Technical Skills
Machine learning
●
Python
●
Docker
●
Kubernetes
●
Cloud
●
ETL & Data Management Tools
●
DevOps
●
Unix
●
Linux
Main Responsibilities
Script production‐ready code.
Leverage GPU and CPU resources appropriately and understand capacity requirements for ML workloads.
Architect, automate and orchestrate DevOps/ML‐Ops pipelines in the cloud.
Build reusable tools and frameworks to monitor, optimize and maintain ML solutions.
Design and implement data engineering pipelines (ETL).
Understand business problems and collaborate with the team to ensure scalability, business continuity and appropriate turnaround times.
Conduct internal workshops and external meetups, participate in conferences and deliver talks.
Continuously develop your craft by staying up to date with new advancements in AI/ML and related technologies, and upskilling as needed.
Location Requirements
Location
Hybrid from:
Poland:
Warsaw
Other
We are looking for contractors who can work from the client’s office in central Warsaw twice a week.
This requirement is mandatory.
About the project
Data & ML Engineer

Important:

We upload profiles to our client's system. To do it, we need below information. Please, add it to the application:

Resume should include Candidate’s full first and last name and list of companies where the candidate has worked.
In the notes section, please add: Candidate’s nationality, Visa/work permit validity date (if applicable),
Day and month of birth (we need it to create individual candidate's code)

We are obliged to ensure that all candidates presented for consideration have undergone a thorough identification verification process. It will include, but not be limited to the one-time online inspection of an ID document with a photo issued by the government, the verification of government-issued photo identification, such as a valid ID card, driver's license or passport. Please, make sure that you specialist agrees to that before applying.

Onboarding process:

Each selected specialist will have to sign 2 client's documents - NDA, Security Rules.

Payment period
30Days

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