Senior Machine Learning Engineer
1 week ago
Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.
( Immediate Joiner only )
Required Skills:
* 7+ years of experience in machine learning and data engineering.
* Expertise in Databricks, MLflow, and model lifecycle management.
* Proficiency in Python ML libraries such as scikit-learn, TensorFlow, and PyTorch.
* Hands-on experience in feature engineering, model evaluation, and deploying scalable ML workflows.
* Advanced experience in neural network (NN) development and deep learning frameworks.
* Familiarity with Git, DevOps, or similar CI/CD tools.
* Strong knowledge of cloud platforms like AWS, Azure, or Google Cloud for ML and data workflows.
Key Responsibilities:
* Design and deploy machine learning models, focusing on model lifecycle management and MLOps practices.
* Perform feature engineering, model evaluation, and optimisation for production-readiness.
* Leverage Databricks and MLflow to automate and scale model workflows.
* Collaborate with cross-functional teams to operationalize machine learning models for business impact.
* Build and maintain CI/CD pipelines for model deployment and retraining using tools like Git or DevOps frameworks.
* Ensure scalability and efficiency in ETL pipelines, data workflows, and ML infrastructure.
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