Artificial Intelligence Engineer

PVAR SERVICES; Gurugram District; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A tech company in Gurugram is seeking a Senior AI/ML Engineer to lead the design and delivery of scalable AI systems. In this role, you will architect end-to-end machine learning pipelines, lead the development of advanced ML models, and promote MLOps best practices. Ideal candidates have a Bachelor's degree, 7+ years of software engineering experience, strong proficiency in Python, and hands-on experience with ML frameworks. This position offers an exciting opportunity to shape the company's AI strategy.

Qualifications

• 7+ years of software engineering experience, with 4+ years focused on AI/ML or data science.
• Strong proficiency in Python and hands-on experience with machine learning frameworks.
• Experience deploying and maintaining ML systems in production at scale.

Responsibilities

• Architect, build, and deploy end-to-end machine learning pipelines.
• Lead development of advanced ML models including LLMs and deep learning architectures.
• Define and implement MLOps best practices including CI/CD and model monitoring.

Skills

Python

ML fundamentals

Cloud platforms (AWS, GCP, Azure)

MLOps concepts

Problem-solving skills

Education

Bachelor's degree in Computer Science, Machine Learning, Data Science, Mathematics

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Senior AI/ML Engineer

Location: Gurugram

About the Role

We are looking for a Senior AI/ML Engineer to lead the design and delivery of scalable, production-ready AI systems. This role combines deep hands‑on engineering with technical leadership, owning the full lifecycle of machine learning solutions—from experimentation to deployment at scale. You will play a key role in shaping our AI strategy, building robust ML infrastructure, and delivering high‑impact AI products in close collaboration with cross‑functional teams.

Key Responsibilities

• Architect, build, and deploy end-to-end machine learning pipelines and production‑grade AI systems
• Lead development of advanced ML models including LLMs, transformers, and deep learning architectures
• Design and optimize Generative AI solutions such as RAG pipelines, prompt engineering, fine‑tuning, and agent‑based systems
• Partner with data scientists, software engineers, and product teams to productionize ML solutions and integrate AI into core products
• Define and implement MLOps best practices including CI/CD, experiment tracking, model monitoring, and governance
• Drive technical design reviews and contribute to long‑term AI infrastructure and platform decisions
• Mentor junior engineers and raise engineering standards across the AI/ML team
• Analyze large‑scale datasets to improve model performance and reliability
• Stay current with emerging AI technologies and evaluate their applicability to business needs
• Communicate technical insights, trade‑offs, and recommendations clearly to stakeholders and leadership

Required Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, Data Science, Mathematics, or a related field
• 7+ years of software engineering experience, with 4+ years focused on AI/ML or data science
• Strong proficiency in Python and hands‑on experience with PyTorch, TensorFlow, scikit‑learn, and transformer‑based frameworks
• Experience working with proprietary LLMs (OpenAI GPT‑4o / GPT‑5, Claude, Gemini) and open‑source models (Qwen, LLaMA, Mistral, DeepSeek), including fine‑tuning and deployment
• Proven experience deploying and maintaining ML systems in production at scale
• Solid understanding of ML fundamentals including supervised/unsupervised learning, deep learning, NLP, and computer vision
• Experience with cloud platforms such as AWS, GCP, or Azure and their ML services (SageMaker, Vertex AI, Azure ML)
• Strong grasp of MLOps concepts: model versioning, monitoring, reproducibility, and experiment tracking
• Excellent software engineering fundamentals: Git, testing, debugging, and deployment
• Strong problem‑solving skills and the ability to communicate complex ideas clearly

Preferred Qualifications

• Hands‑on experience with Generative AI systems including RAG architectures, prompt engineering, and agent frameworks (LangChain, LangGraph, CrewAI)
• Experience in domains such as conversational AI, computer vision, or large‑scale NLP systems
• Prior experience mentoring or leading engineers in technical projects