Machine Learning Engineer

3 days ago

Noida, Uttar Pradesh, India HiringMess Full time ₹ 4,00,000 - ₹ 6,00,000 per year

What You'll Do

  • Research & Experimentation: Explore and implement state-of-the-art ML techniques in computer vision and generative AI to improve our culling, editing, and face-matching models.
  • Model Development: Train, fine-tune, and deploy models for blur detection, blink detection, duplicate detection, aesthetics scoring, and personalized editing.
  • Benchmarking: Analyze current FilterPixel ML models against competitor offerings and identify opportunities for improvement in speed, accuracy, and reliability.
  • Data Pipelines: Work with large-scale photo datasets to prepare, label, augment, and optimize data for training.
  • Production Readiness: Build models that are not only accurate but also efficient and production-friendly (low latency, lightweight).
  • Collaboration: Work closely with the product and engineering teams to convert research into real features photographers love.

What We're Looking For

  • Experience: 1–3 years of experience in machine learning research projects (internships, academic research, or applied industry work all count).
  • Strong Fundamentals: Solid understanding of deep learning, computer vision, and ML research techniques.
  • Hands-On Skills: Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).
  • Project Work: Prior research projects, papers, or contributions to ML/AI projects (academic or industry).
  • Problem-Solving: Ability to take ambiguous problems, run experiments, and arrive at practical solutions.
  • Nice-to-Have: Experience with CLIP, diffusion models, photo aesthetics models, or GANs.

Job Types: Full-time, Permanent

Pay: Up to ₹600,000.00 per year

Application Question(s):

  • How many years of experience do you have in machine learning research projects?(internships, academic research, or applied industry work all counts).

Work Location: In person

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