Senior AI ML Engineer with OpenAI API, NLP Enrichment Platform

Aether Biomedical; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Vacation days up to 26 business days/​

Health and life insurance

Flexible workplace: office/home/hybrid

Certification reimbursement (AWS, GCP,

Learning platforms: O’Reilly, LinkedIn

Job summary

Aether Biomedical is seeking 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.

The role offers a hybrid work model with opportunities to advance as a technical leader and mentor teammates, along with comprehensive learning resources and certification support.

Qualifications

• Senior level experience 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 scalable AI/ML production solutions and pipelines.
• Experience integrating language models into production data pipelines.
• Experience with AI services, NLP, language processing, and data engineering.

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.

Skills

Senior AI/ML expert

OpenAI API experience

NLP solutions

Python data pipelines

Structured data extraction

Production ML systems

Language processing & data engineering

Tools

OpenAI API

Python

Job description

Technology stack

• OpenAI API
• Python
• NLP
• AI services
• Language processing
• Data engineering

Project overview

This project is centered on leveraging 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.

Project nickname

NLP Enrichment Platform

Position overview

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.

What We Offer

• 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.).