Senior Machine Learning Engineer (LLMs, MLOps, Computer Vision & Cloud AI)

Design, develop, deploy, and optimize AI/ML solutions in production environments, focusing on large language models, MLOps, computer vision, and cloud AI. Collaborate with cross-functional teams to deliver innovative AI-powered solutions and maintain scalable machine learning infrastructure.

• Design, develop, deploy, and maintain production-grade machine learning and AI solutions.
• Build and optimize LLM applications using GPT, BERT, T5, Hugging Face, Ollama, and similar technologies.
• Develop RAG systems, prompt engineering strategies, and fine-tuning workflows.
• Implement MLOps pipelines using MLflow, Kubeflow, Airflow, Weights & Biases, or similar tools.
• Deploy and manage AI workloads across AWS, Azure, GCP, and OCI.
• Design and support scalable infrastructure using Docker, Kubernetes, Ansible, and CI/CD.
• Develop models for forecasting, anomaly detection, predictive analytics, and real-time monitoring.
• Build recommendation engines, personalization platforms, ranking systems, and collaborative filtering solutions.
• Develop computer vision solutions using PyTorch, TensorFlow, OpenCV, YOLO, and object detection.
• Implement feature engineering and feature stores such as Feast or Tecton.
• Optimize model performance using quantization, pruning, knowledge distillation, and inference acceleration.