Description

You will engineer and deploy scalable machine learning systems and AI products.

This role is on-site.

Responsibilities

• Design and implement MLOps data pipelines for ingestion, processing, and storage.
• Deploy models using MLOps platforms like Vertex Pipelines or Kubeflow.
• Implement and support end-to-end Machine Learning workflows.
• Build AI/ML products utilizing LLMs, neural networks, and related technologies.

Required Skills

• 5+ years of experience in AI/ML engineering.
• Expert programming skills in Python and SQL.
• Proficiency with containerization (Docker, Kubernetes) and CI/CD practices.
• Experience with large-scale ML frameworks (TensorFlow, PyTorch, Spark ML).
• Knowledge of Gen AI advancements (Gemini, OpenAI, Claude) and open-source LLMs.
• Experience with RAG and Supervised Tuning techniques.
• Strong distributed systems skills.
• Experience developing on GCP.
• Familiarity with Fast API or Flask.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Gradute