Lead ML Model Deployment Specialist

2 weeks ago


kurnool, India beBeeMachineLearning Full time

Job Title: Machine Learning EngineerDescriptionWe are seeking a highly skilled Machine Learning Engineer to join our team. As an ML Engineer, you will be responsible for deploying, monitoring, and scaling machine learning models on cloud platforms.Main Responsibilities:Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions).Build and maintain continuous integration and delivery 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.Collaborate with data scientists to operationalize ML models for personalization, recommendations, NLP.RequirementsTo be successful in this role, you will need:Prior ~2+ years of experience working with ML Ops & DS.Proficient in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch) and data pipelines (Airflow, Spark, SQL).Bonus: experience with real-time ML serving, A/B testing, or media/recommender systems.Nice-to-Have:Experience with subscription, media, or recommender systems.Knowledge of experiment design & causal inference.Exposure to real-time ML serving (KFServing, Seldon, Ray Serve).Education:Btech /MtechWhy You'll Love This RoleThis is an amazing opportunity to work with cutting-edge technology and collaborate with talented professionals. You will have the chance to grow your skills and take on new challenges.



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