Senior AI Engineer
Minimum 6+ years of experience in the industry
Solid experience in delivery of GenAI products with an opinion on how best to deliver each phase of the life cycle
6+ years of development competency across a variety of languages, frameworks, and tooling,
such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Kafka
4+ years of years of experience in designing, developing, deploying, and monitoring machine
learning and GenAI solutions
2+ years of experience in Application development, deployment, and monitoring on Kubernetes
6+ year of experience working with data scientists and/or ML engineers and building auto-scaling ML systems.
Proficient in PyTorch or similar frameworks (e.g Tensorflow) – demonstrates strong
understanding of neural networks and LLMs; familiar with frameworks widely used in Hugging
Face models, LLaMA, and similar architectures.
Expertise in fine-tuning methodologies – including data collection strategies for effective
model adaptation (embeddings included).