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

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