Ukraine Job Openings
Intellias
MLops Lead
September 16, 2024
Julia Pyvo
Client’s AI-based platform helps insurers securely underwrite risks, efficiently allocate resources, and lower claims cost across their book of business, allowing them to focus on what matters most: the customer, and our shared commitment to protecting our world.
- Execution and guidance of technical POCs.
- Being a subject matter expert for new joining teammates from intellias side.
- Being informed and aware of who does what on intellias side.
- Pro-active communication of client’s needs and issues.
- 5+ years of professional experience in MLOps, machine learning engineering, or a similar role.
- Strong communication and interpersonal skills to collaborate effectively with cross-functional teams.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience in designing and implementing scalable machine learning pipelines for model training, validation, and deployment.
- Experience with one or more data-oriented workflow orchestration frameworks (Kube Flow, Airflow, Argo, etc.).
- Experience with cloud platforms, containerization technologies and automated testing and monitoring of machine learning models.
- Bachelor’s or higher degree in Computer Science, Engineering, or a related field.
- Experience of deploying llm models on premise.
- Experience with data science project.
MLModels
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