SE-AI

About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leader in delivering data-driven digital transformation for cloud-based enterprises. With expertise across Software & Platforms, Life Sciences & Healthcare, Retail, CPG, Financial Services, and Supply Chain, CLOUDSUFI helps organizations accelerate their data monetization journey through advanced analytics, AI, and scalable cloud solutions.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

Job Title: AI/ML Engineer (Computer Vision & Systems)

Job Summary We are seeking a highly skilled AI/ML Engineer specializing in Computer Vision and scalable AI systems. The ideal candidate isn't just a consumer of pre-trained models; you are a problem-solver who excels at training on custom datasets, applying traditional computer vision techniques, and writing custom logic to refine raw detections.

You will work on building end-to-end, production-grade computer vision systems—from document/image analysis and custom data pipelines to deploying FastAPI services on Google Cloud Platform (GCP). Collaborating closely with data engineers and product teams, you will rely on your strong MLOps foundation to bring robust AI models from research into highly reliable production environments.

Key Responsibilities

• Computer Vision Model Development & Post-Processing
• Design, train, and fine-tune computer vision models for object detection, segmentation, and image analysis using custom image datasets and frameworks like Detectron2 and PyTorch.
• Develop custom post-processing logic and heuristics to refine raw image detections into highly accurate, business-ready outputs utilizing both traditional CV (OpenCV) and modern ML techniques.
• Optimize models for accuracy, latency, and scalability in production environments.
• Data Engineering & Data Labeling Pipelines
• Build and maintain data ingestion, preprocessing, and transformation pipelines for large-scale custom image and video datasets.
• Design data labeling and annotation workflows, collaborating with annotation teams to ensure high-quality custom ground-truth data.
• Implement data validation, dataset versioning, and metadata tracking.
• MLOps & Model Lifecycle Management
• Develop end-to-end AI pipelines leveraging MLOps best practices, including data preparation, model training, evaluation, packaging, and continuous deployment.
• Implement model training workflows and automation pipelines for the continuous improvement of AI models.
• Monitor model performance in production and retrain models based on new data and feedback loops.
• AI API Development & Model Serving
• Develop high-performance, async AI-powered APIs and inference services strictly using FastAPI.
• Package and deploy models using Docker containers on Google Cloud Platform (GCP) infrastructure.
• Build and maintain model-serving pipelines optimized for real-time and batch inference.
• System Integration & Product Development
• Integrate AI models with internal platforms, applications, and client systems.
• Work with product managers, data engineers, and UI teams to develop AI-powered features.
• Research & Innovation
• Evaluate emerging techniques in computer vision, generative AI, and Reinforcement Learning to solve complex business problems.
• Contribute to new AI capabilities, prototypes, and internal research initiatives.

Qualifications and Skills

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience: 3+ years of professional experience in AI/ML engineering, with a strong focus on custom computer vision development and deployment.

Programming Languages

Strong, production-level expertise in Python.

Working knowledge of SQL.

Machine Learning & Computer Vision Frameworks

• Deep expertise in PyTorch and Detectron2.
• Strong proficiency in traditional computer vision libraries (OpenCV, image processing, classical feature extraction).
• Experience with Scikit-learn and Hugging Face.
• Familiarity with Reinforcement Learning principles and applications.

AI System Development & MLOps

• Strong hands-on experience developing AI inference APIs using FastAPI.
• Proven high-level understanding and practical application of MLOps practices (model tracking, continuous training, lifecycle management).
• Building end-to-end AI pipelines from scratch.

Infrastructure & Tools

• Mandatory experience deploying machine learning workloads on Google Cloud Platform (GCP).
• Proficiency with containerization (Docker).
• Experience with databases (PostgreSQL, MongoDB, Redis, and Elasticsearch).
• Version control (Git) and CI/CD workflows.

Core Competencies

• Exceptional problem-solving skills, specifically the ability to bridge the gap between model output and final desired results using custom logic.
• Experience deploying, maintaining, and troubleshooting production-grade AI systems.
• Strong ability to collaborate across engineering, product, and research teams.