Unlock the Potential of Machine Learning Engineering

1 day ago

Agra, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
ML Engineering and Operations Specialist">

Prior to this role, you have had ~2+ years of experience working with ML Ops & DS.

Key Responsibilities:

We are seeking an individual who can deploy, monitor, and scale machine learning models on cloud platforms such as AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions).

You will be responsible for building and maintaining Continuous Integration/Continuous Deployment pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools.

Containerization and workload orchestration with Docker & Kubernetes is a must. Additionally, you should be able to manage infrastructure via Terraform/CloudFormation.

Our ideal candidate will implement model registries, feature stores, and observability using MLflow, Feast, Prometheus/Grafana.

Collaboration with data scientists is essential to operationalize ML models for personalization, recommendations, NLP.

Required Skills:

  • Proficiency 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.

Nice-to-have skills include knowledge of experiment design & causal inference, and exposure to real-time ML serving (KFServing, Seldon, Ray Serve).

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