Python Gen AI/ ML Engineer (RARR Job 5925)

We are seeking a highly skilled Python Generative AI / Machine Learning Engineer to design, develop, and deploy advanced AI/ML solutions. The ideal candidate will have strong experience in Python, machine learning, and generative AI models, with a passion for building scalable, production-ready systems.

Key Responsibilities

• Design, develop, and optimize ML and Generative AI models for real-world applications

• Build and maintain end-to-end ML pipelines including data preprocessing, training, evaluation, and deployment

• Work with LLMs, transformers, and generative models (e.g., text, image, or multimodal systems)

• Implement model inference and APIs using Python-based frameworks

• Collaborate with data scientists, product teams, and engineers to translate business requirements into AI solutions

• Monitor model performance, accuracy, and drift in production environments

• Optimize models for scalability, performance, and cost efficiency

• Stay updated with the latest advancements in AI, ML, and Generative AI

Required Skills & Qualifications

• Strong proficiency in Python

• Solid understanding of Machine Learning and Deep Learning concepts

• Hands-on experience with Generative AI / LLMs

• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn

• Knowledge of NLP, computer vision, or multimodal models

• Experience with REST APIs, model serving, and deployment

• Familiarity with cloud platforms (AWS, Azure, or GCP)

• Understanding of data structures, algorithms, and software engineering best practices

Preferred Qualifications

• Experience with prompt engineering, fine-tuning, and RAG architectures

• Knowledge of MLOps tools (CI/CD, model versioning, monitoring)

• Experience with Docker, Kubernetes, or similar container technologies

• Prior experience working in production AI systems