AI Engineer
Summary
Develops and deploys AI/ML solutions at Luxoft in Gurugram — building data pipelines, training workflows, and NLP/Generative AI models, then maintaining and optimizing them in production. Core stack: Python, TensorFlow/PyTorch/Scikit-learn, SQL, and LLM/RAG tooling.
Project description
We are seeking innovative AI Engineers with 2–3 years of experience to develop and deploy AI/ML solutions. The role involves working with data scientists, software engineers, and business stakeholders to build scalable AI-powered applications.
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
Must have
- 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.
Nice to have
Experience with Azure AI Services or Azure Machine Learning. Experience with LangChain, OpenAI, or Retrieval-Augmented Generation (RAG). Exposure to MLOps practices and deployment pipelines.