Machine Learning Infrastructure Architect

1 dzień temu


Warszawa, Mazovia, Polska Square One Resources Sp. z o.o. Pełny etat

We are seeking a skilled Senior MLOps Engineer to join our US AI Services team at Square One Resources Sp. z o.o.

As a Senior MLOps Engineer, you will be responsible for designing, developing, and operationally implementing machine learning projects. This role requires a combination of engineering, automation, and data science skills to support scalable ML solutions.

Our ideal candidate has proven experience in programming with languages such as Python, GO, or similar, and hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP). They should also have extensive experience in architecting and implementing end-to-end operations for machine learning projects.

The estimated annual salary for this position is $140,000-$160,000 depending on the location and experience level of the candidate.

Besides technical expertise, we value effective communication skills to present technical solutions to business audiences, interest and knowledge in emerging technologies, and previous experience in an innovation lab or similar environment.

Responsibilities:
  • Design, develop, and implement machine learning projects
  • Implement CI/CD/CL pipelines for machine learning projects
  • Experience with serverless functions and DevOps tools for building and automating pipelines
  • Experience with containers (Docker) and their orchestrations (Kubernetes)
  • Proficiency in RDBMS/NoSQL data stores and appropriate use cases
  • Proficiency in machine learning libraries such as scikit-learn, TensorFlow, Keras, PyTorch, and Spark MLlib
Requirements:
  • Proven experience in programming with languages such as Python, GO, or similar
  • Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP)
  • Extensive experience in architecting and implementing end-to-end operations for machine learning projects
  • Proven experience in designing and implementing CI/CD/CL pipelines for machine learning projects
  • Experience with rapid prototyping and agile methodologies


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