Senior AI/ML Engineer at Aaizel International Technologies Pvt Ltd

About the Role

What you'll do

• Design and develop end-to-end AI/ML solutions using Machine Learning, Deep Learning, and Generative AI
• 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
• Research, prototype, and productionize state-of-the-art AI techniques
• Optimize models for performance, scalability, latency, and real-time inference
• Apply model compression techniques such as quantization, pruning, and distillation
• Deploy AI applications using Docker, Kubernetes, and modern model-serving frameworks
• Implement MLOps/LLMOps practices, CI/CD pipelines, model versioning, monitoring, and observability
• 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

What we're looking for

• 5+ years of experience in AI/ML, Deep Learning, or related domains
• Strong proficiency in Python 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

Skills & Technologies

Required

Benefits & Perks

• Health Insurance
• Flexible Leave Policy
• Learning Budget
• EPF / NPS

Why This Role is Good for Experienced Professionals

• This senior role offers end-to-end ownership of advanced AI systems spanning Generative AI, LLMs, Agentic AI, and Computer Vision in an innovation-driven startup environment.
• Lead development of cutting-edge Generative AI and LLM-based applications
• Build RAG pipelines, Agentic AI workflows, and multimodal AI solutions
• Work on model optimization, MLOps/LLMOps, and real-time inference systems
• Mentor junior engineers and influence architectural decisions
• Exposure to modern AI stack including LangChain, LangGraph, Hugging Face, and vector databases
• Deploy AI applications using Docker, Kubernetes, and cloud platforms
• Research, prototype, and productionize state-of-the-art AI techniques
• Collaborative and innovation-driven work culture
• Continuous learning and career growth in a funded startup
• Opportunity to build impactful, next-generation AI products

About Aaizel International Technologies Pvt Ltd

Industry

Technology

Company Size

500+

Website

aaizelinternationaltechnologiespvtltd.com