AI Engineer: Generative AI & ML in Production

Luxoft; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Luxoft is seeking innovative AI Engineers with strong Python and ML expertise to design, develop, and deploy AI/ML solutions. You will collaborate with data scientists, software engineers, and business stakeholders to build scalable AI-powered applications in production environments.

Responsibilities include building data pipelines, training workflows, implementing NLP and Generative AI, monitoring model performance, and documenting best practices.

Qualifications

• 2–3 years of experience in AI/ML development.
• Strong Python programming skills.
• Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with Large Language Models (LLMs) and Generative AI concepts.
• Experience with data preprocessing and feature engineering.
• Knowledge of SQL and data analytics.

Responsibilities

• Design, develop, and deploy machine learning and AI solutions.
• Build data pipelines and model training workflows.
• Implement NLP, Generative AI, and predictive analytics solutions.
• Develop and maintain ML models in production environments.
• Collaborate with business teams to identify AI opportunities.
• Monitor model performance and optimize accuracy.
• Document technical solutions and best practices.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

LLMs

Generative AI

Data preprocessing

SQL

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Luxoft is seeking innovative AI Engineers with strong Python and ML expertise to design, develop, and deploy AI/ML solutions. You will collaborate with data scientists, software engineers, and business stakeholders to build scalable AI-powered applications in production environments.

Responsibilities include building data pipelines, training workflows, implementing NLP and Generative AI, monitoring model performance, and documenting best practices.