Middle ML Operations Engineer
New
S
SPD TechnologyFinTech
Ukraine. Poland. Spain. Portugal. RomaniaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- DockerPythonSQLApache AirflowElasticSearchGCPJavaKubeflowKubernetesMLFlowPyTorchAmazon Web ServicesApache KafkaFastAPIGrafanaPrometheusRedisNosqlTensorflowCI/CDscikit-learnLangChain
Requirements
- Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or commensurate experience)
- 3+ years of experience in hands-on development and deployment of Machine Learning algorithms and services
- 3+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
- 3+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
- Experience with at least 50% of: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow
- Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
- Experience in cloud-native delivery, with practical understanding of containerization technologies such as Kubernetes and Docker
- Proficiency in GitOps and creation/management of CI/CD pipelines
- Demonstrated experience building and using SQL/NoSQL databases
- Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
- Good problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
- Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
- Ability to be a team player who can also work independently
Responsibilities
- Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation
- Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment
- Design and deliver tasks end-to-end with little guidance from Senior team members
- Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC
- Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks
- Support the vision and values of the company through role modeling and encouraging desired behaviors
- Participate in various cross-functional company initiatives and projects as requested
- Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance
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