Senior Python Engineer with AI Exposure

Jobo; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

DataArt Poland is seeking a Senior Python Engineer to join a transformative project for a UK financial services group. The role focuses on rebuilding data and analytics capabilities and developing advanced machine learning and generative AI solutions in a regulated environment.

The candidate will design, build, and deploy AI models, develop scalable Python services, create robust data pipelines, and implement MLOps CI/CD with monitoring for retraining.

Qualifications

• Strong proficiency in Python with libraries: NumPy, Pandas, PyTorch, TensorFlow.

Responsibilities

• Design, build, and deploy machine learning and generative AI models, including LLMs, transformers, and RAG pipelines.
• Develop scalable AI services and microservices using Python, REST APIs, and cloud-native technologies.
• Build and maintain data pipelines for training, validation, and inference while collaborating on data governance.
• Implement CI/CD pipelines for MLOps workflows and ensure model performance through monitoring and retraining strategies.
• Translate complex business requirements into technical solutions by working closely with product and engineering teams.

Skills

Python

NumPy

Pandas

PyTorch

TensorFlow

LLMs

vector databases

LangChain

LangGraph

AWS/Azure/GCP

Docker

Kubernetes

Tools

LangChain

LangGraph

Docker

Kubernetes

PyTorch

TensorFlow

NumPy

Pandas

Job description

DataArt Poland is seeking a Senior Python Engineer to join a transformative project for a UK financial services group. You will play a pivotal role in rebuilding data and analytics capabilities, focusing on the development of advanced machine learning and generative AI solutions within a highly regulated environment.

Key responsibilities

• Design, build, and deploy machine learning and generative AI models, including LLMs, transformers, and RAG pipelines.
• Develop scalable AI services and microservices using Python, REST APIs, and cloud-native technologies.
• Build and maintain data pipelines for training, validation, and inference while collaborating on data governance.
• Implement CI/CD pipelines for MLOps workflows and ensure model performance through monitoring and retraining strategies.
• Translate complex business requirements into technical solutions by working closely with product and engineering teams.

Requirements

• Strong proficiency in Python, including libraries such as NumPy, Pandas, PyTorch, and TensorFlow.
• Hands‑on experience with LLMs, vector databases, and agentic AI frameworks like LangChain or LangGraph.
• Solid understanding of cloud platforms including AWS, Azure, or GCP and serverless computing.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with MLOps tools and machine learning lifecycle management.

What we offer

• Opportunity to influence technological solutions and product development in an agile environment.
• Collaboration with a diverse team of backend developers, data scientists, and product owners.
• Engagement in a large-scale platform modernization program for a major financial services client.
• Professional growth through code reviews, test automation, and continuous integration practices.