Software Engineer, Machine Learning
Core
Building and deploying production-level machine learning models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems to enable an Agentic AI platform that delegates tasks to an 'Universal AI Employee'.
Role type
Senior Machine Learning Engineer (Agentic AI/NLP)
Builds
Agentic AI platform systems (NLP, retrieval, ranking, reasoning, dialog, code-generation) for enterprise productivity
Domain
Enterprise AI / Natural Language Processing / Agentic Systems
Deliverable
production ML models
Required skills
NLP techniques, large language model training and inference, Transformer-based models, reinforcement learning, ensemble learning, agent-based systems, Python, TensorFlow, PyTorch
Preferred skills
SQL, ETL, data warehousing, MLOps, GCP, Azure, software development principles, data structures, algorithms
Technologies
TensorFlow, PyTorch, GCP, Azure
Responsibilities
Conceptualize, develop, and deploy ML models for NLP and reasoning systems; Implement advanced algorithms (Transformers, RL, agent-based); Process and analyze large complex datasets; Work across the complete ML lifecycle (problem definition to deployment); Implement A/B testing and automated validation processes
Seniority
Senior, hands-on IC
