Mlops (Gurugram)

ob Title: MLOps Engineer Location: Gurgaon, India (Work from Office) Company Overview [Your Company Name] is at the forefront of AI-driven innovation, providing cutting-edge solutions to empower businesses with automation, optimization, and operational excellence. We are looking for an experienced MLOps Engineer to join our team in Gurgaon. Key Responsibilities - Design, build, and manage scalable and reliable machine learning pipelines. - Implement CI/CD pipelines for ML workflows, ensuring rapid deployment and monitoring of models. - Automate model training, validation, and deployment processes. - Collaborate with data scientists, engineers, and product teams to deploy and monitor ML models in production. - Optimize infrastructure for machine learning, including data storage, processing, and resource management. - Monitor and troubleshoot model performance and system issues in production. - Ensure compliance with security, data privacy, and governance standards. Required Skills and Experience - Experience: 3+ years in MLOps, DevOps, or related roles with hands-on experience in production-level ML systems. - Tools: Proficiency with Kubernetes, Docker, Terraform, and cloud platforms like AWS, Azure, or GCP. - Programming: Robust knowledge of Python and familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. - CI/CD: Experience in Jenkins, GitHub Actions, or similar tools for continuous integration and deployment. - Monitoring: Familiarity with tools like Prometheus, Grafana, or ELK stack for monitoring and logging. - Version Control: Proficiency with MLflow, DVC, or similar tools for model versioning. - Databases: Knowledge of relational and non-relational databases (e.g., SQL, MongoDB). Preferred Qualifications - Masters or Bachelors degree in Computer Science, Data Science, or a related field. - Knowledge of feature stores and data versioning. - Experience with model explainability and interpretability tools. - Exposure to A/B testing and .