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MLOps Engineer

2 weeks ago

Bengaluru, Karnataka, India Tekskills Inc. Full time US$ 1,25,000 - US$ 1,75,000 per year

Skill Required: Digital
:
Machine Learning

Experience Range in Required Skills
: 6-8 Years.

ML Frameworks, building CI/CD pipeline for ML models, Docker, Kubernetes, Jenkins, Terraform, ELK Stack

Job Description:

  • ML Ops Engineer- 6+ years of experience in software engineering, DevOps, or MLOps roles (minimum 3+ years of experience in MLOps).
  • Proficiency in ML frameworks (TensorFlow, PyTorch) and MLOps tools (MLflow, Kubeflow, Airflow).Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure)
  • Strong coding skills in Python and scripting languages like Bash or YAML.
  • Knowledge of model monitoring, data drift detection, and A/B testing.
  • Familiarity with data versioning tools (e.g., DVC, GitHub) and model registry tools.
  • Experience in monitoring productized ML models using tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), AWS Sage Maker Model Monitor.
  • Experience with Jenkins, Terraform, and GitHub Actions.