OUR CLIENT
- A full-lifecycle digital engineering firm offering digital advisory through scaled engineering services
RESPONSIBILITIES
- Collaborate with cross-functional teams to design, develop, and implement cutting-edge Generative AI solutions
- Research and experiment with the latest advancements in Generative AI, ensuring our solutions remain on the leading edge of technology
- Optimize and fine-tune models for performance, scalability, and efficiency
- Work on end-to-end development, from ideation to deployment, ensuring a seamless integration of Generative AI into various software ecosystems
- Stay abreast of industry trends, emerging technologies, and best practices, contributing to a culture of continuous learning and improvement
REQUIREMENTS
- Advanced degree in Computer Science, Machine Learning, or a related field
- 6+ years of experience as an AI/ML engineer/data scientist
- Proven experience in developing Generative AI solutions
- Solid understanding of deep learning concepts, neural networks, and reinforcement learning
- Solid understanding of Large Language Models, Transformers architecture, self-attention, mixture of experts, and embedding models
- Proven experience with AI Agents and advanced Retrieval Augmented Generation
- Experience with CrewAI, LangChain / LangSmith / LangGraph, LlamaIndex and HuggingFace
- Experience with model fine-tuning
- Hands-on data pre-processing experience
- Strong Python expertise
- Proficiency in ML frameworks such as PyTorch, TensorFlow, or similar
- Experience with AWS development and deployment (ECS, Lambda, S3)
- Expertise with AWS Bedrock and SageMaker
- Expertise with LLMOps
- Familiarity with Docker and Kubernetes
- Strong problem-solving skills and a passion for tackling complex challenges
