Senior Machine Learning Engineer

🕒 September 12

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Aftershoot

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 $120.1k Pre Seed Round - Aftershoot on 2021-04

SaaS • Artificial Intelligence • B2B

Aftershoot is a software platform that automates post‑shoot photo workflows for professional photographers. Using on‑device AI it performs fast culling, style-consistent editing, batch retouching, and client delivery via branded galleries (including proofing and a built-in print store). The product is sold as a subscription (flat pricing, unlimited usage) and emphasizes privacy (works offline, files stay on the user’s machine), time savings, and ease of use for wedding, event, portrait, and commercial photographers.

📋 Description

• Own the entire lifecycle of Vision and GenAI problem statements from initial concept through deployment • Research, design, develop, and deploy robust and scalable ML systems for Vision use cases • Optimize model training and inference pipelines to maximize GPU utilization and minimize costs • Collaborate with Product, Backend, and Platform teams to define timelines, align business goals, and drive execution • Ensure successful deployment and ML monitoring after launch • Take end-to-end ownership of projects from ideation to delivery

🎯 Requirements

• 5–8 years of experience, preferably in a fast-paced startup environment • Solid foundation in Deep Learning, Computer Vision, and Generative AI • In-depth practical knowledge of CNNs, GANs, VAEs, Diffusion models, Inpainting methods, image processing techniques, text-to-image and image-to-image generation architectures • Strong programming skills in Python • Proficiency with ML frameworks such as TensorFlow, PyTorch, and JAX • Experience deploying Vision models on edge devices and optimizing for resource constraints • Ability to stay current with the latest research and try unconventional ideas • Ability to break down complex and abstract problems into actionable items • Self-motivated, able to work with minimal oversight and process • Bonus: experience with 3D computer vision, video processing, text-to-video and image-to-video generation • Bonus: knowledge of Rust • Bonus: experience with highly skewed and imbalanced data • Bonus: familiarity with AWS, GCP, Azure, Docker, and Kubernetes