We are looking for an enterprising iOS Developer with strong logical reasoning, solid ARKit experience, and hands-on ML/AI development using Python. The role involves building immersive AR experiences while directly designing, training, and deploying ML models into iOS applications, not just integrating third-party APIs.

Role Overview

• Work end-to-end across iOS, AR, and ML: from feature conception and data understanding to model deployment in production apps.
• Go beyond UI-level work to own ML algorithm design, experimentation, and optimization for real-time, on-device usage with AR features.
• Ideal for a self-driven engineer who thrives in fast-paced, high-ownership environments and can reason quickly through complex technical problems.

Key Responsibilities

• Design, develop, and maintain high-quality iOS applications using Swift, SwiftUI, and UIKit following best architectural practices (MVC/MVVM).
• Implement AR features using ARKit, RealityKit, and related Apple frameworks to deliver interactive, immersive user experiences.
• Develop ML/AI algorithms in Python, including data preprocessing, feature engineering, model training, evaluation, and iteration.
• Convert trained models (e.g., from TensorFlow/PyTorch) to mobile-friendly formats (such as Core ML) and integrate them for on-device or API-based inference.
• Integrate AR experiences with real-time ML-driven insights (e.g., object detection, tracking, gesture/scene understanding) for interactive interfaces.
• Optimize performance and memory for real-time AR + ML workloads on iOS devices, ensuring smooth user experiences.
• Collaborate closely with product managers, backend engineers, and data/ML engineers to define requirements, interfaces, and delivery timelines.
• Write clean, modular, well-documented code with unit tests and follow Git-based collaborative workflows (branches, PRs, code reviews).
• Rapidly debug, analyze, and resolve logical and performance issues across the stack (iOS, AR, ML pipeline, and integrations).

Required Skills & Qualifications

• 2+ years of professional experience building and shipping iOS applications.
• Strong proficiency in Swift with solid experience in UIKit and SwiftUI for production apps.
• Hands-on experience with ARKit (for building AR experiences on iOS).
• Strong working knowledge of Python for ML/AI development.
• Direct experience developing ML algorithms/models (classification, detection, or similar), not just consuming 3rd-party ML APIs.
• Good understanding of core ML concepts: data preprocessing, feature extraction, model training, inference, and evaluation metrics.
• Experience integrating ML models into iOS apps via Core ML or equivalent on-device inference pipelines.
• Familiarity with REST APIs, JSON, and secure client-server communication.
• Strong logical reasoning, analytical thinking, and structured problem-solving skills.
• Experience with Git and modern collaborative development workflows (branching, code review).

Good to Have

• Experience with Core ML, TensorFlow, PyTorch, or TensorFlow Lite for training and exporting models for mobile.
• Exposure to computer vision, spatial computing, 3D scene understanding, or sensor-based ML (e.g., camera, LiDAR, IMU fusion).
• Experience building ML/AI services using FastAPI or Flask and integrating them with mobile apps.
• Knowledge of performance tuning techniques specific to mobile ML workloads (quantization, pruning, batching, caching).
• Prior experience in startup-like, high-ownership environments with fast iteration cycles.

Personal Attributes

• Highly enterprising, self-motivated, and comfortable taking ownership from idea to production.
• Rapid, structured logical thinker who can break down complex problems into clear, executable steps.
• Strong sense of responsibility, communication, and accountability in delivering features on time.
• Comfortable working across boundaries: iOS, AR, ML, backend integration, and experimentation.
• Curious, adaptable, and eager to learn and adopt new tools, frameworks, and techniques.

Location: Chennai, India