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Senior Machine Learning Operations Engineer

2 weeks ago


Aurangābad, India beBeeMachineLearning Full time

Job OverviewWe are seeking an experienced ML Engineer to join our team in developing and deploying machine learning models on cloud platforms. As an ML Ops specialist, you will be responsible for building and maintaining CI/CD pipelines, containerizing and orchestrating workloads, and implementing model registries and feature stores.The ideal candidate will have expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL). Experience with real-time ML serving, A/B testing, or media/recommender systems is a plus.Key ResponsibilitiesDeploy, monitor, and scale ML models on cloud platforms like AWS or GCP.Build and maintain CI/CD pipelines for ML workflows using GitHub Actions/Jenkins/cloud-native tools.Containerize and orchestrate workloads with Docker/Kubernetes; manage infrastructure via Terraform/CloudFormation.Implement model registries, feature stores, and observability using MLflow/Feast/Prometheus/Grafana.Required Skills and QualificationsProficient in Python and ML frameworks (Scikit-learn, TensorFlow, PyTorch).Experience with data pipelines (Airflow, Spark, SQL) and containerization/orchestration (Docker/Kubernetes).Familiarity with CI/CD pipelines (GitHub Actions/Jenkins/cloud-native tools) and model management (MLflow/Feast).Strong understanding of cloud computing platforms (AWS/GCP) and their services.BenefitsCollaborative environment with opportunities for growth and development.Competitive salary and benefits package.Opportunities for professional certification and training.Education and CertificationsA graduate degree is required for this position. Relevant certifications (e.g., AWS Certified Machine Learning - Specialist, Google Cloud Certified - Professional Machine Learning Engineer) are highly valued but not necessary.