LLM Engineer

Role: LLM Engineer Location: Noida About the Job We are looking for a Machine Learning Engineer to design, build, and deploy ML models that power intelligent agent systems and enterprise AI solutions. The Machine Learning Engineer will be responsible for developing scalable ML pipelines, optimizing models for performance, and ensuring robust deployment in production environments. This role requires strong technical expertise in ML algorithms and practical experience in MLOps.

Responsibilities Hands-on experience in deploying ML models at scale with automated monitoring and retraining in production environments. Design and implement machine learning models for prediction, classification, and optimization tasks. Build and maintain scalable ML pipelines for data ingestion, training, and deployment.

Collaborate with data scientists and engineers to integrate models into agent workflows. Monitor and improve model performance post-deployment using automated retraining strategies. Ensure compliance with best practices for security, reliability, and ethical AI.

Mandatory Skills Proficiency in Python, TensorFlow, and PyTorch. Experience with ML pipelines and MLOps tools (MLflow, Kubeflow). Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Familiarity with cloud platforms (AWS, Azure, GCP) for ML deployment. Knowledge of LLM integration and hybrid AI systems. Experience with containerization (Docker) and orchestration (Kubernetes).

Exposure to CI/CD pipelines for ML workflows.