AI / ML Engineer

We are looking for a strong Machine Learning / AI Engineer with 4-6 years of experience who can build and deploy production-grade ML and Generative AI systems. The ideal candidate combines strong software engineering fundamentals with hands-on experience in ML, LLM applications, RAG, computer vision, MLOps and cloud-based distributed systems.

Responsibilities:

• Design, develop and deploy scalable, production-grade machine learning and AI systems.
• Build Generative AI and LLM-based applications, including retrieval-augmented generation (RAG) systems.
• Identify reusable patterns and create modular AI/ML solutions and engineering assets.
• Work across AI/ML, distributed systems and product engineering to solve complex business problems.
• Evaluate and integrate models and APIs across OpenAI, Anthropic and Google Gemini ecosystems.
• Read, understand and implement relevant research papers and emerging ML/AI techniques.
• Contribute to technical direction, architecture and engineering best practices.
• Mentor engineers and demonstrate strong ownership with a bias toward action and execution.

Requirements:

• Bachelor's degree in Computer Science, Engineering or a related technical field; Master's or PhD preferred.
• 4-6 years of software engineering experience with significant exposure to machine learning systems.
• Strong proficiency in Python and solid computer science fundamentals, including data structures, algorithms and system design.
• Proven experience building and deploying production-grade ML systems at scale.
• Deep understanding of machine learning concepts including optimisation, statistics and linear algebra.
• Hands-on experience with Generative AI / LLM-based systems.
• Experience with RAG architectures, vector databases, embeddings and retrieval systems.
• Hands-on experience with PyTorch and/or TensorFlow/Keras.
• Experience with MLOps practices including ML CI/CD, model versioning, monitoring and drift detection.
• Experience with AWS, GCP or Azure and distributed computing frameworks such as Spark or Ray.
• Ability to write clean, modular and reusable code.

Good to Have:

• Experience with computer vision techniques such as object detection and semantic or instance segmentation.
• Experience evaluating models across OpenAI, Anthropic and Gemini ecosystems.
• Contributions to open-source projects, research publications or patents.
• Strong experience reading, implementing or adapting research papers.
• Experience influencing technical direction and mentoring engineers.