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AI ENGINEER

ADSPARKX MEDIA
Gurugram, Haryana

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Job details

Qualifications

TensorFlow
Image processing
Azure
Law
Computer Science
Kubernetes
Computer vision
Software deployment
Master's degree
Databases
AWS
Docker
Bachelor's degree
Machine learning
Deep learning
Mentoring
Natural language processing
APIs
Data science
AI
Python

Full job description

Senior AI Engineer – Generative AI

Role Overview

We are looking for a highly skilled and innovative Senior AI Engineer with deep expertise in Generative AI to join our growing team. The ideal candidate will lead the design, development, and deployment of advanced AI/ML models and scalable AI-driven applications focused on automation, intelligence, and creativity.

This role requires strong technical expertise in LLMs, NLP, multimodal AI, and modern AI infrastructure, along with the ability to mentor teams and drive AI initiatives from concept to production.

Key Responsibilities

Design, build, and deploy scalable AI/ML and Generative AI solutions for real-world applications.
Lead the complete AI model lifecycle including data collection, preprocessing, training, fine-tuning, evaluation, deployment, and monitoring.
Develop and optimize LLM-powered applications using modern AI frameworks and architectures.
Build and maintain robust AI pipelines, APIs, and production-ready AI systems.
Collaborate cross-functionally with product managers, software engineers, and data teams to integrate AI seamlessly into products and workflows.
Fine-tune and customize foundation models such as GPT, LLaMA, Mistral, Claude, or similar open-source models.
Implement Retrieval-Augmented Generation (RAG), vector search, prompt engineering, and agentic AI workflows.
Ensure high performance, scalability, reliability, and cost optimization of deployed AI systems.
Stay updated with the latest advancements in AI/ML research and evaluate emerging technologies for practical implementation.
Mentor junior AI engineers and contribute to technical decision-making and architecture discussions.
Maintain comprehensive technical documentation and best practices for reproducibility and knowledge sharing.

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
5–8 years of experience in AI/ML model development and deployment.
Strong hands-on experience with Generative AI and Large Language Models (LLMs).
Expertise in Python and AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or LlamaIndex.
Strong understanding of NLP, deep learning, multimodal AI, and prompt engineering.
Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
Hands-on experience with cloud platforms such as AWS, GCP, or Azure.
Experience with containerization and deployment tools including Docker and Kubernetes.
Strong understanding of APIs, scalable backend systems, and AI infrastructure.
Experience implementing MLOps practices for deployment, monitoring, and model optimization.
Ability to work in a fast-paced and collaborative environment.

Good to Have

Experience building AI agents and autonomous workflows.
Familiarity with fine-tuning techniques such as LoRA, QLoRA, RLHF, or PEFT.
Knowledge of Computer Vision, Speech AI, or multimodal systems.
Experience with distributed training and GPU optimization.
Exposure to AI safety, model evaluation, and governance practices.
Prior experience leading AI projects or mentoring teams.

What We Offer

Opportunity to work on cutting-edge Generative AI and LLM-based products.
Fast-paced, innovative, and collaborative work culture.
Competitive compensation and accelerated career growth opportunities.
Access to modern AI infrastructure and tools.
A chance to shape the future of AI-driven solutions with a forward-thinking team.

Quick apply

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