AI/ML Engineer & Python Developer — Generative AI & MLOps

EUROPEAN DYNAMICS Group; Ohio; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Competitive full-time salary

Private Health Coverage on the Company

Flexible Working Hours

Top-of-the-Line Tools

Professional Development

Job summary

EUROPEAN DYNAMICS (ED) seeks an AI/ML Engineer with strong Python skills to deliver ML/AI solutions for international public organizations. You will implement ML models, deploy pipelines, and build Generative AI components, including RAG architectures and eval frameworks.

You will work on AI governance, observability, and documentation, using FastAPI/Flask/Pydantic in microservices, with excellent English communication in a dynamic, growth-oriented team.

Qualifications

• University degree in IT or related field.
• Strong knowledge of Python and data libraries (Pandas, NumPy, SciPy, Matplotlib, Seaborn).
• Good knowledge of FastAPI, Flask, Pydantic, SQLAlchemy.
• Hands-on experience with LLM/SLM integration.
• Familiarity with LangChain, LangGraph, Haystack.
• Experience with PyTorch, TensorFlow and ONNX formats.
• Excellent command of English (written and spoken).

Responsibilities

• Implement advanced ML solutions and MLOps deployment strategies.
• Build Generative AI components, including RAG architectures and evaluation frameworks.
• Contribute to AI governance, observability, monitoring and responsible AI practices.
• Contribute to design and documentation of AI solutions.
• Contribute to Python implementation tasks and microservices with FastAPI/Flask/Pydantic.

Skills

Python

Pandas

NumPy

SciPy

Matplotlib

Seaborn

LLM integration

LangChain

LangGraph

Haystack

PyTorch

TensorFlow

ONNX

English proficiency

Education

University degree in IT or related field

Tools

FastAPI

Flask

Pydantic

SQLAlchemy

Job description

EUROPEAN DYNAMICS (ED) seeks an AI/ML Engineer with strong Python skills to deliver ML/AI solutions for international public organizations. You will implement ML models, deploy pipelines, and build Generative AI components, including RAG architectures and eval frameworks.

You will work on AI governance, observability, and documentation, using FastAPI/Flask/Pydantic in microservices, with excellent English communication in a dynamic, growth-oriented team.