Senior Machine Learning Engineer, Enigma

Responsibilities:

• Architect and implement production-ready autonomous agent platforms.
• Develop and integrate multimodal AI systems capable of processing text, vision, and other sensory inputs.
• Leverage cloud-based AI platforms for architecture and deployment.
• Optimize agent workflows using frameworks such as LangChain.
• Perform fine-tuning and optimization of models for specific applications.
• Design robust evaluation frameworks to assess agent performance and ensure operational safety.
• Conduct technical design reviews and mentor team members.

Requirements & Skills:

• At least 7 years of software engineering experience, with 4+ years focusing on ML/AI systems.
• Proficiency in Python and contemporary AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
• Extensive experience with agent development frameworks and cloud-based AI platforms.
• Expertise in prompt engineering and large language model (LLM) optimization.
• Proven ability to fine-tune models and optimize hyperparameters.
• Experience in building and deploying production ML pipelines.
• Familiarity with vector databases and semantic search systems.
• Understanding of MLOps practices and monitoring systems.
• Comprehensive knowledge of transformer architectures and attention mechanisms.
• Expertise in multimodal AI systems and data fusion techniques.
• Strong foundation in reinforcement learning and agent-based systems.
• Familiarity with LLM alignment techniques and associated safety considerations.
• Understanding of semantic parsing and natural language understanding.
• Experience with Retrieval Augmented Generation (RAG) architectures.
• Proven experience in building and deploying production-grade agent systems.
• Hands-on expertise in model fine-tuning and optimization.
• Track record of deploying large-scale AI systems.
• Experience in real-time inference and optimization.