Senior AI ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 5+ Years

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.

Role Overview

As AI/ML Engineer, you will lead the development, deployment, and optimization of advanced AI systems spanning Generative AI, Large Language Models (LLMs), Agentic AI, Computer Vision, and intelligent automation. You will drive innovation, mentor junior engineers, and build scalable, production-ready AI solutions.

Key Responsibilities

AI Development & Research

• Design and develop end-to-end AI/ML solutions using Machine Learning, Deep Learning, and Generative AI techniques.
• Build solutions involving NLP, Computer Vision, multimodal AI, anomaly detection, and predictive analytics.
• Develop and optimize LLM-based applications, RAG pipelines, and Agentic AI workflows.
• Fine-tune and evaluate foundation models, including LLMs and Vision Language Models (VLMs).
• Research, prototype, and productionize state-of-the-art AI techniques.
  
  

Model Optimization & Deployment

• Optimize models for performance, scalability, latency, and real-time inference.
• Apply model compression techniques such as quantization, pruning, and distillation for edge and cloud deployments.
• Deploy AI applications using Docker, Kubernetes, and modern model-serving frameworks.
• Implement MLOps/LLMOps practices, CI/CD pipelines, model versioning, monitoring, and observability.
  
  

Collaboration & Leadership

• Collaborate with cross-functional teams to integrate AI capabilities into end-to-end products.
• Mentor junior engineers, conduct code reviews, and promote engineering best practices.
• Maintain technical documentation and contribute to architectural decisions.
  
  

Preferred Technology Stack

Programming: Python, SQL

AI/ML: PyTorch, TensorFlow, Scikit-learn, Hugging Face, PyTorch Lightning

Generative AI & Agents: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy

LLMs & RAG: OpenAI, Gemini, Anthropic APIs, FAISS, Pinecone, Milvus, Qdrant, Weaviate

Computer Vision & Edge AI: OpenCV, ONNX Runtime, TensorRT, OpenVINO, Tesseract OCR

MLOps/LLMOps: Docker, Kubernetes, MLflow, Kubeflow, Weights & Biases, GitLab CI/CD

Cloud: AWS, Azure, GCP

Monitoring: Prometheus, Grafana, LangSmith, Evidently AI

Databases: PostgreSQL, MongoDB, Redis

Required Skills & Qualifications

• 5+ years of experience in AI/ML, Deep Learning, or related domains.
• Strong proficiency in Python and hands-on experience with PyTorch, TensorFlow, and Hugging Face ecosystem.
• Experience building LLM applications, RAG systems, and Agentic AI solutions.
• Strong understanding of Generative AI, Transformers, Prompt Engineering, and modern NLP techniques.
• Experience in Computer Vision and deploying optimized models in cloud and/or edge environments.
• Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms.
• Proven ability to translate research into scalable production systems.
• Excellent problem-solving, communication, leadership, and mentoring skills.
  
  

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

What We Offer

• Opportunity to work on cutting-edge AI and Generative AI solutions.
• Continuous learning, research, and career growth opportunities.
• Collaborative and innovation-driven work culture.
• Opportunity to build impactful, next-generation AI products.
  
  

How to Apply

• Please submit your resume, portfolio, and a cover letter outlining your relevant experience and how you can contribute to Aaizel Tech’s success.
  
  

Skills:- Natural Language Processing (NLP), Generative AI, Machine Learning (ML), Deep Learning, Large Language Models (LLM) tuning, Agentic AI and Retrieval Augmented Generation (RAG)

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