Title: Senior MLOps Engineer
Location: Remote
Duration: Long term
Position: Full Time
Job Description
Job Overview:
We are seeking an experienced Senior MLOps Engineer to develop and maintain our machine learning infrastructure, ensuring efficient deployment and performance of ML models.
Key Responsibilities:
-
Design and maintain scalable ML infrastructure.
-
Develop automated workflows for data processing and model training.
-
Deploy and monitor ML models in production environments.
-
Collaborate with data scientists and engineers.
-
Optimize ML models and infrastructure.
-
Ensure compliance with data security regulations.
-
Document MLOps processes and provide training.
-
Required Qualifications:
-
Bachelor’s or Master’s in Computer Science or related field.
-
8+ years in MLOps, DevOps, or software engineering.
-
Proficiency in Python, Java, or Scala.
-
Experience with ML frameworks (e.g., TensorFlow, PyTorch).
-
Familiarity with Docker, Kubernetes, and cloud platforms (e.g., AWS, GCP).
-
Experience with CI/CD tools (e.g., Jenkins, GitLab).
-
Strong problem-solving skills and attention to detail.
-
Excellent communication and teamwork skills.
|
Hemant Patel
|
|
|
Senior Talent Acquisition Specialist
|
|