Junior Lead ML Engineer – Computer Vision

This is a fully remote position, open to applicants in India.

📋 Description

• Assist in the development and enhancement of machine learning systems focused on object detection, segmentation, document understanding, and information extraction from architectural plans.

• Train, assess, and troubleshoot computer vision models utilizing actual construction data.

• Aid in the creation and upkeep of datasets, labeling workflows, preprocessing pipelines, and evaluation tools.

• Contribute to experiments related to computer vision, document understanding, and associated machine learning methodologies.

• Support the integration of models into production applications and APIs.

• Write clean, testable, and maintainable code in Python.

• Analyze model failures and assist in identifying ways to enhance accuracy and reliability.

• Collaborate with senior engineers to comprehend technical specifications and translate them into functional solutions.

• Document experiments, outcomes, decisions, and lessons learned throughout the process.

• Acquire and implement engineering practices for testing, deployment, observability, and maintainability.

⛳️ Requirements

• 1–2 years of professional experience, internships, research, or equivalent project work in machine learning, computer vision, or a related field.

• A degree in computer science, engineering, mathematics, data science, or a relevant technical discipline, or equivalent practical experience.

• Strong foundation in Python and experience with PyTorch or a comparable deep learning framework.

• Familiarity with computer vision tasks such as object detection, image segmentation, classification, or optical character recognition (OCR).

• Basic knowledge of image processing concepts and tools like OpenCV.

• Familiar with Linux and Git.

• Experience in handling data, training models, evaluating outcomes, and debugging issues.

• Excellent communication skills and the ability to work effectively with a remote and culturally diverse team.

• Bonus: Experience in academic, internship, or personal projects related to document understanding, OCR, or technical drawings.

• Bonus: Familiarity with detection or segmentation frameworks.

• Bonus: Knowledge of FastAPI, Docker, ClearML, or MLflow.

• Bonus: Interest in multi-modal models, language models, natural language processing (NLP), or retrieval-augmented generation.

• Bonus: Experience with model deployment, inference optimization, or data-labeling workflows.

• Bonus: A portfolio, GitHub repository, research project, or other examples showcasing technical work.

🏝️ Benefits

• Competitive salary.

• Meaningful equity.

• Comprehensive benefits package (health, dental, vision).

• Professional development budget for courses, conferences, and research exploration.

• Mentorship from seasoned engineers.

• Opportunities to tackle real-world machine learning challenges with a direct impact.

• Clear pathways for increased responsibility and career advancement.