Responsibilities
- Lead the development and deployment of computer vision solutions (image classification, object detection, segmentation, OCR) alongside scalable machine learning systems including predictive models, recommendation systems, and advanced analytics pipelines.
- Design and build scalable backend systems and APIs that serve ML models and integrate with data infrastructure.
- Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities for machine learning applications.
- Implement end-to-end ML workflows, including data preparation, model training, evaluation, and deployment.
- Develop and maintain production-grade ML systems, ensuring reliability and accuracy over time.
- Conduct thorough model testing, validation, and monitoring to ensure accuracy and stability.
- Stay current with the latest advancements in machine learning, artificial intelligence, and cloud technologies.
Requirements
- Strong experience in computer vision, including image classification, object detection, segmentation, OCR, and deploying vision-based models into production environments.
- Strong proficiency in machine learning systems, with extensive experience in scalable model deployment, feature engineering, and ML operations.
- Solid backend development skills with the ability to build robust, scalable systems that support ML workloads.
- Advanced Python programming skills for machine learning, data processing, and backend development.
- Deep expertise in Generative AI technologies, including LLMs, prompt engineering, and AI application development.
- Strong experience with PostgreSQL for data storage, querying, and database optimization.
- Proficiency with Databricks for big data processing, collaborative ML development, and pipeline orchestration.
Nice to Have
- Working knowledge of Google Cloud Platform (GCP) for deploying and managing ML infrastructure.
- Familiarity with Amazon Web Services (AWS) for cloud-based ML solutions.
- Experience with Microsoft Azure for enterprise-scale ML deployments.
