Machine Learning Engineer
2 weeks ago
We are looking for a
Machine Learning Engineer (MLE)
on a B2B contract to join our client' team and drive the development, automation, and governance of AI/ML solutions for internal customers.
As an MLE, you will collaborate with Data Scientists, Domain Experts, and Product Owners to design and deploy
end-to-end AI products
, ensuring scalability, performance, and business impact. You will work across cloud platforms, DevOps/MLOps, and application development to bring advanced ML solutions into production.
Key Responsibilities
- Develop production-ready code and ML applications
- Leverage GPU & CPU resources, ensuring efficient ML workloads
- Architect, automate, and orchestrate
DevOps/MLOps pipelines on cloud - Build re-usable tools and frameworks for monitoring and maintaining ML solutions
- Design and implement
data engineering pipelines (ETL) - Translate business problems into scalable AI/ML solutions
- Participate in
workshops, conferences, and knowledge-sharing sessions - Stay up to date with
AI/ML trends, tools, and technologies
Qualifications
- Bachelor's or Master's degree in Computer Science, Operations Research, Mathematics, or related fields
- 3–4 years of relevant experience
in ML/AI engineering - Strong programming skills (
Python preferred
) - Experience with
Docker, Kubernetes, and container orchestration - Hands-on experience with
Google Cloud Platform and/or Azure - Proficiency with
ETL workflows, Airflow, Kubeflow, or similar orchestration tools - Knowledge of
CI/CD pipelines, Git-based workflows, RESTful APIs - Comfortable in
Unix/Linux environments - Strong problem-solving and debugging skills
- Language: Romanian
Nice to Have
- Experience with
TensorFlow, Keras, PyTorch - Strong understanding of ML/DL algorithms
- Knowledge of
IoT/Edge technology
or oilfield terminology (a plus) - Familiarity with
Spark, Kafka, Flink, Hadoop, Hive, NoSQL - Open-source contributions
Other details:
Type of Contract: B2B
Daily rate: lei
Language: Romanian
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