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AI ENGINE DEVELOPER (Computer Vision + Mobile App AI Integration)
AI ENGINE DEVELOPER (Computer Vision + Mobile App AI Integration)Clause Holdings • mount, kerala, in
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AI ENGINE DEVELOPER (Computer Vision + Mobile App AI Integration)

AI ENGINE DEVELOPER (Computer Vision + Mobile App AI Integration)

Clause Holdings • mount, kerala, in
1 day ago
Job description

Location : Remote / Bangalore / Chennai

Type : Full-Time

Team : Founding Tech Team

Level : Mid–Senior / Lead

Role Overview

We are looking for an experienced AI / ML Engineer (Computer Vision) to architect and build an advanced AI Scoring Engine for inputs. The role involves model selection, training, fine-tuning, evaluation, deployment (cloud / on-device) and seamless integration with mobile applications.

You will work closely with the founding team, product and mobile engineering teams.

This is a 0→1 ownership role with significant influence on the core technology direction.

Key Responsibilities

AI / ML Responsibilities

  • Build and optimize the AI Scoring Engine.
  • Implement computer vision models for multiple scoring dimensions, such as :
  • Face quality
  • Overall aesthetic score
  • Subject–environment alignment
  • Lighting & composition
  • Expression & mood
  • Uniqueness & style attributes
  • Evaluate and select the best-suited models (CLIP, Vision Transformers, aesthetic models, YOLO / BlazeFace, MediaPipe, SAM, etc.).
  • Fine-tune models to match defined scoring categories.
  • Build weighted scoring logic and inference APIs.
  • Focus on performance optimization, bias reduction and accuracy improvements.
  • Deploy and scale models on AWS / GCP, leveraging GPU / TPU infrastructure.
  • Stay updated with the latest developments in computer vision and deep learning.

Engineering Responsibilities

  • Design and implement backend architecture for real-time scoring pipelines.
  • Build high-performance inference APIs (sub-700ms preferred).
  • Integrate AI engine with Android / iOS mobile applications.
  • Optimize pipelines using caching, batching, and rate limiting.
  • Ensure strong data privacy, security and ethical AI compliance.
  • Create internal tools, dashboards, and analytics for scoring visibility and evaluation.
  • Requirements

    Must-Have

  • Experience in Computer Vision / Deep Learning
  • Strong proficiency in Python, PyTorch, TensorFlow
  • Hands-on experience with image / video classification, detection, or aesthetic models
  • Familiarity with Vision Transformers, CLIP, YOLO, MediaPipe
  • Strong understanding of model deployment, GPU inference, ONNX, TensorRT
  • Experience working with AWS / GCP cloud infrastructure
  • Ability to build end-to-end AI pipelines from prototype to production
  • Strong analytical and problem-solving skills, especially in startup or fast-paced environments
  • Good-to-Have

  • Experience with CoreML / TensorFlow Lite / MediaPipe for mobile inference
  • Exposure to building scoring, ranking, or recommendation systems
  • Knowledge of aesthetic / quality scoring datasets
  • Experience in MVP-grade rapid prototyping
  • Background in user-facing or high-frequency inference systems
  • Personality Fit

  • Enjoys building systems from the ground up
  • Executes quickly and iterates fast
  • Comfortable with ambiguity and early-stage decision-making
  • Ownership-driven and self-directed
  • Passionate about AI, computer vision and scalable engineering
  • First 90 Days Deliverables

  • Release Version 1 of the AI Engine
  • Build and deploy the backend inference API
  • Implement and validate the weighted scoring logic
  • Deliver performance, accuracy and bias evaluation reports
  • Integrate the AI engine into the mobile application
  • Set up internal tools for monitoring, benchmarking and model evaluation
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    Ai Computer Vision • mount, kerala, in

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