Description

You will own the development and scaling of machine learning systems.

Responsibilities

• Build and optimize ML pipelines and CI/CD workflows.
• Deploy and scale ML models within cloud environments (GCP/AWS/Azure).
• Develop solutions leveraging knowledge graphs and vector databases for RAG/semantic search.
• Track and maintain model performance through continuous monitoring.

Required Skills

• 7+ years of experience in ML/AI/Data Science.
• Strong proficiency in Python, TensorFlow, PyTorch, XGBoost, and SciKit-learn.
• Experience with cloud ML platforms, including Vertex AI.
• Proficiency with infrastructure-as-code tools like Terraform and containerization (Docker, Kubernetes).
• Hands-on experience with MLOps tools such as MLflow.
• Familiarity with big data processing frameworks (Spark/Hive/Hadoop).
• Experience working with vector databases (e.g., Pinecone, Weaviate).

Key Skills

Education

Any Gradute