This position is a full-time remote position to work from LATAM with US clients.
We offer:
- 100% Remote Work
- $35 USD per hour
Title: Senior MLOps Engineer
Job Summary:
We are seeking a highly motivated and experienced Data Engineer with deep expertise in MLOps discipline to join our Data Engineering team. In this role, you will be at the forefront of designing and developing scalable, robust data architectures and MLOps solutions utilizing the latest technologies from Google Cloud Platform (GCP) and AWS. As a key contributor, you will collaborate closely with cross-functional teams to understand and address their data and ML platform requirements.
Required Skills & Experience:
- At least 5 years of proven experience as a Data Engineer or MLOps Engineer in developing platform level capabilities for a data-driven midsize to large corporations.
- Strong programming skills in languages such as Python, Java or Scala, with experience building large-scale, fault-tolerant systems.
- Experience with cloud platforms (GCP, AWS, AZURE) with strong preference to GCP.
- Experience with BigQuery or similar (Redshift, Snowflake, other MPP databases)
- Hands-on experience with ML frameworks (TensorFlow, PyTorch) and ML deployment patterns.
- Practical experience with containerization and orchestration tools (Docker, Kubernetes)
- Experience building data pipelines & ETL
