Machine Learning Engineer (Infrastructure)

Skillset required : Machine Learning, Infrastructure, GCP, Vertex AI

Description :     

○ Experience in Machine Learning engineer or Infrastructure roles, with a focus on Machine Learning infrastructure.

○ Proficiency in programming languages Python, Java

○ Experience with cloud platforms such as AWS, GCP, or Azure. GCP experience is strongly preferred.

○ Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn).

○ Knowledge of DevOps principles and tools (e.g., CI/CD pipelines, Terraform).

○ Strong understanding of Containerization technologies (e.g., Docker, Kubernetes).

○ Excellent problem-solving and communication skills.

○ Experience with big data technologies such as Apache Spark or Hadoop Preferred.

Compensation, Benefits and Duration

Minimum Compensation: USD 51,000
Maximum Compensation: USD 178,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post