AI/ML Engineer Experienced AI/ML Engineer with 5+ years of hands-on expertise in designing, developing, and deploying end-to-end machine learning and deep learning solutions. Proficient in Python, TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, Azure) to build scalable models for computer vision, NLP, recommendation systems, and predictive analytics. Strong track record of taking projects from research/prototyping to production, including data pipeline creation (Airflow, Kafka), model optimization, and MLOps practices (MLflow, Kubeflow, Docker, Kubernetes). Specialized in transformer architectures, large language models (fine-tuning, RAG, prompt engineering), generative AI, and reinforcement learning. Proven ability to deliver high-impact solutions for startups and enterprises, improving metrics such as accuracy, latency, and cost efficiency by 30–70%. Excellent communicator skilled at translating complex technical concepts into business value. Available for full-time contract, part-time, or project-based remote/freelance engagements worldwide.