Design, develop, and deploy machine learning models, focusing significantly on computer vision and image processing, to meet the innovative product features needs
Employ cloud vision API & OCR to extract data from unstructured documents.
Utilize cloud based LLM APIs to wrangle & structure the output of OCR
Employ PyTorch, TensorFlow, and other ML frameworks for model development and iteration, ensuring high efficiency and effectiveness of solutions delivered
Collaborate with cross-functional teams to understand requirements, deliver ML-driven solutions, and contribute to project scope definition and execution strategies
Optimize machine learning models for performance and scalability, leveraging cloud-based ML services and ensuring seamless model serving in production environments
Must-have
Minimum 3+ years of experience with bachelor s/Master s degree in Computer Science, Engineering, or a related field, with a strong foundation in statistics, applied mathematics, and algorithm design
Prolific experience working with OCR data extraction especially with cloud platforms.
Proven expertise in Python programming and experience with computer vision libraries (e.g., OpenCV, YOLO) for sophisticated image processing tasks
Nice to have
Experience with cloud-based ML services (AWS Sagemaker, Azure ML, Google AI Platform) and LLM Services (Azure OpenAI, Google Gemini)
Minimum 3 years of experience in machine learning, specifically with a focus on PyTorch, computer vision, and deep learning model development and deployment
Familiarity with data engineering tools (Pandas) for efficient data manipulation and analysis
Demonstrable experience in evaluating and validating ML models, with knowledge of model optimization and performance tuning
Excellent communication skills, with proficiency in both verbal and written English, capable of collaborating effectively in a diverse team environment 
