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
Machine Learning Engineer (NLP & Agentic AI)
Builds
Agentic AI platform systems (NLP, retrieval, ranking, reasoning, dialog, code-generation)
Domain
Enterprise productivity, Agentic AI, Natural Language Processing
Deliverable
production ML models
Required skills
NLP techniques, large language models (LLMs), 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
Technologies
Python, TensorFlow, PyTorch, GCP, Azure
Responsibilities
Conceptualize, develop, and deploy ML models for NLP and agent systems; implement advanced algorithms (Transformers, RL, ensemble); 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
Mid-level, hands-on IC