ML Engineer
RemoteIndia
IndiaRemoteFull TimeSenior LevelSmall
Full TimeSenior LevelSmall
Job Summary
Conduct end-to-end ML lifecycle management, including data acquisition, cleaning, model building, and production deployment. Analyze algorithms to solve problems, verify data quality, and explore datasets for training pipelines. Train models, tune hyperparameters, and analyze errors to design improvement strategies. Ensure code paths are unit tested, defect-free, and integration tested while implementing MLOps on Azure with workflow orchestration tools like Kubeflow or Airflow. Communicate with data scientists and engineers to document processes. Requires 2-4 years of total experience with Python, TensorFlow, PyTorch, and Azure services.
Required Qualifications
- 2 4 years of experience in Data Science and 1-2 years as ML Engineer
- Hands-on experience of 2+ years in writing object-oriented code using python
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture
- In-depth knowledge of mathematics, statistics, and algorithms
- Experience working with machine learning frameworks like Tensorflow, Caffe, etc.
- Understanding of Data Structures, Data Systems and software architecture
- Experience in using frameworks for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes
- Experience with Azure cloud services, Cosmos DB, Streaming Analytics, IoT messaging capacity, Azure functions, Azure compute environments, etc.
- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
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