Description

You will engineer and maintain automated workflows for AI/ML systems.

This role is hybrid.

Responsibilities

• Build, deploy, and maintain AI/ML models using established frameworks.
• Automate model training, evaluation, and deployment using scripting.
• Orchestrate end-to-end machine learning pipelines using MLOps tools.
• Integrate AI models into production systems via APIs and containers.
• Optimize AI performance through prompt engineering and model fine-tuning.

Required Skills

• 5+ years of experience as an AI Automation or Machine Learning Engineer.
• Proficiency in Python, Bash, or PowerShell for automation scripting.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Expertise in MLOps tools including Kubeflow, MLflow, Airflow, or SageMaker.
• Experience containerizing and orchestrating applications with Docker and Kubernetes.
• Understanding of LLM operations and automation using LangChain or OpenAI API.
• Experience with cloud platforms such as AWS, Azure, or GCP for AI deployment.
• Knowledge of CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps).

Preferred Skills

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.

Key Skills

Education

Any Graduate