AI Engineer

TL;DR

AI Engineer (ML/NLP): Developing, training, and deploying ML and AI models with a focus on NLP and language understanding, writing production-grade Python code, and deploying AI systems to production. Focus on implementing intelligent guardrails to protect users, products, and customers, and collaborating with cross-functional teams to define and track meaningful performance metrics for AI-powered features.

Location: Remote

Company

Technology company focused on transforming digital sales experiences through advanced AI solutions.

What you will do

• Develop, train, and deploy ML and AI models with a strong focus on NLP and language understanding.
• Write production-grade Python code and deploy AI systems to production.
• Build, iterate, and optimize models using PyTorch and related frameworks.
• Productionize models in AWS, including GPU-accelerated workloads.
• Implement intelligent guardrails to protect users, products, and customers.
• Collaborate closely with data scientists, ML engineers, product teams, and stakeholders.

Requirements

• 3+ years of experience in data science and machine learning, including deploying models to production.
• Strong proficiency in production-grade Python.
• Hands-on experience with ML/DL frameworks (PyTorch, TensorFlow, scikit-learn).
• Solid background in NLP, including embeddings, LLMs, entity and intent recognition.
• Experience with agentic AI and RAG.
• English level: B2 (Upper-Intermediate) or higher

Culture & Benefits

• Technical and non-technical training for professional and personal growth.
• Internal conferences and meetups to learn from industry experts.
• Support and mentorship from an experienced employee to help you professional grow and development.
• Flexible work options, including remote and hybrid opportunities.