Role & responsibilities
Proven experience as a Site Reliability Engineer (SRE) or in a similar role.
Strong knowledge of machine learning concepts and workflows.
Proficiency in programming languages such as Python, Java, or Go.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with containerization technologies like Docker and Kubernetes.
Experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
Strong problem-solving skills and the ability to troubleshoot complex issues.
Excellent communication and collaboration skills.
Preferred candidate profile
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
Knowledge of data engineering and data pipeline tools such as Apache Spark, Apache Kafka, or Airflow.
Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack.
Familiarity with infrastructure as code (IaC) tools like Terraform or Ansible.
Experience with automated testing frameworks for machine learning models.
Knowledge of security best practices for machine learning systems and data.
Education:
Bachelor's degree in Computer Science, Engineering, or a related field.
Master's degree in Computer Science, Engineering, or a related field.
Keyskills: Java ML workflows Site Reliability Engineering Ci/Cd machine learning concepts ML Concepts Docker Sre Python Kubernetes
Klarheit Valuers & Engineers Pvt. Ltd. is a professional real estate valuation firm specializing in the appraisal of immovable property. They provide a comprehensive range of real estate valuation services to various clients, including Banks, Mortgage Companies, Law Firms, Governmental Agen...