MLOps Ecgineer

8.0 years

0.0 Lacs P.A.

India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

mlcuttingaidevelopmentdeploymentmanagementgcppreprocessingtrainingdatalearningmodeldrifttuningautomatemlfloworchestrationvertexdataflowdockerkubernetestensorboardsecuritycomplianceengineeringcodingpythontensorflowpytorchoptimizationjenkinsgitlabmonitoringversioningrollbackgovernance

Work Mode

Remote

Job Type

Contractual

Job Description

πŸ” We're Hiring! – ML Ops Engineer (Remote, India) πŸ“ Location: Remote (Within India) πŸ’Ό Employment Type: Full-Time / Contractor πŸ“… Start Date: Immediate πŸ•’ Working Hours: 1:30 PM IST – 10:30 PM IST (Aligned with US CST) πŸš€ Join Madlabs Global LLC as we lead the charge in deploying cutting-edge ML and Generative AI solutions at scale! We’re looking for a highly skilled ML Ops Engineer to lead the development, deployment, and lifecycle management of AI/ML models in cloud-native (preferably GCP) environments . πŸ’Ό Key Responsibilities Build scalable ML pipelines: ingestion, preprocessing, training, and serving. Collaborate with Data Scientists to turn prototypes into production-ready systems. Deploy and optimize LLM-based applications (instruction-tuned, fine-tuned models). Own continuous learning pipelines: retraining, model drift detection, performance tuning. Automate workflows using CI/CD , MLFlow , orchestration tools. Leverage GCP services like Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Functions. Use Docker & Kubernetes to containerize and orchestrate model deployments. Monitor model performance with Prometheus, TensorBoard, Grafana, etc. Ensure security, fairness, and compliance across ML systems. 🧠 Required Experience 8+ years in ML Engineering, MLOps, or AI Infrastructure roles. Strong coding skills in Python with frameworks like TensorFlow, PyTorch, Scikit-learn. Deep expertise in GCP-native ML stacks . Hands-on experience in Generative AI model deployment and model optimization . Proficiency in Docker, Kubernetes, Jenkins, GitLab CI/CD . Solid understanding of model monitoring, versioning, rollback, and governance. πŸ•˜ Work Hours Fully remote (India-based) Must provide overlap with CST time zone – working hours: 1:30 PM IST to 10:30 PM IST πŸ’¬ Interested or want to learn more? πŸ“ž Contact: +91 98868 11767 πŸ“§ Email: naveed@madlabsinfotech.com Apply now or DM us to explore this opportunity to work with a team pushing the boundaries of AI innovation! #Hiring #MLOps #MachineLearning #GenerativeAI #LLM #VertexAI #RemoteJobsIndia #DataEngineering #AIJobs #GCP #DevOpsForAI #MLDeployment #LinkedInJobs Show more Show less

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