aKUBE · 13 hours ago
Lead Machine Learning Engineer - Generative AI - 1584
aKUBE is seeking a Lead Machine Learning Engineer specializing in Generative AI. The role involves designing and building prototypes, developing automation workflows, and collaborating with various teams to implement advanced machine learning techniques.
Responsibilities
Design and build GenAI and LLM-based prototypes and MLPs
Develop chatbots, copilots, summarization, and automation workflows
Implement and evaluate RAG, embeddings, and LLM techniques
Build PoCs using modern ML frameworks and cloud-native tools
Support experiment design, benchmarking, and model evaluation
Collaborate with product, data, and engineering teams
Contribute to architecture discussions and technical decisions
Apply MLOps best practices and support documentation and demos
Qualification
Required
6+ years in software engineering or ML/AI engineering
2+ years hands-on with GenAI, LLMs, or advanced ML platforms
Python expertise and production ML system development
Experience with PyTorch, TensorFlow, HuggingFace, LangChain
Hands-on work with RAG pipelines, embeddings, prompt engineering, LLM fine-tuning
Experience with AWS, Azure, or GCP deployments
Experience with NoSQL, relational, and vector databases
MLOps tools: MLflow, Docker, Kubernetes
BA/BS in Computer Science, Information Systems, or related field
Preferred
Experience in R&D or innovation-focused teams
Background building internal AI/ML platforms or tooling
Open-source contributions, patents, or ML publications