
Data Science Innovator
3 days ago
We are seeking an experienced Machine Learning/MLOps Engineer with expertise in Azure Databricks ecosystem.
The ideal candidate will help build our AI/ML platform from scratch, collaborating with a cross-functional team to combine MLOps and Machine Learning engineering responsibilities into a single position.
- Design and implement scalable ML pipelines using Azure Databricks.
- Establish processes for automated model training, tuning, deployment, and monitoring.
- Implement data governance and compliance controls.
- Deploy models for real-time and batch inference using MLflow.
- 5+ years of experience as an ML Engineer, MLOps Engineer, or similar hybrid role.
- Strong proficiency in Python and ML frameworks like Scikit-learn, XGBoost, PyTorch, or TensorFlow.
- Proven expertise in Azure Databricks, Azure ML, Data Factory, Delta Lake, and MLflow.
- Hands-on experience with Git for pipeline development.
- Solid understanding of MLOps practices, CI/CD, and production ML requirements.
- Familiarity with Generative AI, LLM deployment, or RAG pipelines using Azure OpenAI Service.
- Experience with vector databases (e.g., FAISS, Milvus, Pinecone) and model explainability tools.
We're committed to creating a collaborative and inclusive work environment.
Enjoy benefits like career stability, immediate coverage, and comprehensive benefits.
Access free training and certifications to enhance your skills.
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