Senior AI ML Engineer with OpenAI API, NLP Enrichment Platform

Quick Facts

• Project nickname: NLP Enrichment Platform

Description

This project leverages the OpenAI API and related AI services to enrich data through NLP capabilities. It involves designing and implementing scalable AI/ML solutions that bring language models into production environments.

Role description

We are looking for a Senior AI ML Engineer to build AI powered services and NLP solutions using Python and the OpenAI API. You will contribute to production ready data pipelines and help improve the performance and reliability of language model integrations.

Responsibilities

• Design and develop AI ML solutions using the OpenAI API and other AI services
• Build NLP pipelines for structured data extraction, classification, and semantic enrichment
• Develop and maintain Python based data ingestion, processing, and transformation pipelines
• Integrate language models into scalable production systems and improve their performance and reliability

Requirements

• Senior level experience in building AI powered services and NLP solutions
• Experience with the OpenAI API
• Experience with structured data extraction, classification, and semantic enrichment
• Proficiency in Python for data ingestion, processing, and transformation
• Experience designing and implementing scalable AI ML solutions
• Experience integrating language models into production data pipelines
• Experience with AI services, NLP, language processing, and data engineering

Benefits

• Vacation days: Up to 26 business days per year
• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Flexible workplace: work from the office, from home, or choose a hybrid option
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Fully paid idle (bench) when not involved in a project
• Certification reimbursement (AWS, GCP, Microsoft, etc.)