Senior AI/ML Engineer – Generative AI – 5-8 yrs, Location: Bangalore

Angel-and-Genie; Bengaluru; On-site; INR 2,700,000 - 3,300,000; Full time

Job summary

Angel-and-Genie is hiring a Senior AI/ML Engineer in Bengaluru, India. The ideal candidate should have 5-8 years of experience in AI/ML with strong expertise in computer vision, PyTorch or TensorFlow, and production ML deployment.

The position demands proven skills in designing ML systems, hands-on experience with models like GANs, and cloud experience (AWS, GCP, Azure). Apply now to join a dynamic team dedicated to advancing AI technologies.

Qualifications

• 5-8 years experience in AI/ML, strong computer vision background.
• Strong understanding of CNNs, transformers, detection, segmentation.
• Proven record of shipping ML products.

Skills

Deep expertise in computer vision

Proficient in PyTorch/TensorFlow

Production ML deployment experience

Strong Python skills

Cloud experience (AWS/GCP/Azure)

Hands-on experience with diffusion models or GANs

Job description

Salary : upto - 30 LPA

Hiring a Senior AI/ML Engineer with deep expertise in computer vision, generative AI, and production-grade ML systems.

Must-Haves

• 5-8 years experience in AI/ML, strong computer vision background
• Deep expertise in PyTorch/TensorFlow
• Production ML deployment experience
• Strong understanding of CNNs, transformers, detection, segmentation
• Hands‑on experience with diffusion models or GANs
• Strong Python skills and ML system design
• Cloud experience (AWS/GCP/Azure)
• Proven record of shipping ML products
• Passion for experimenting with new AI models

Good‑to‑Have

• Experience in e‑commerce/retail imaging or content pipelines
• Background in automation and intelligent workflow systems
• Recommendation/personalization experience
• Familiarity with multimodal models (vision + language)
• Experience with neural rendering or 3D generation
• Open‑source contributions or research publications
• Real‑time inference optimization
• Strong MLOps understandingAbility to build end‑to‑end ML‑driven features