AINE AI

Company Description AINE AI is a deep tech company that specializes in developing AI-enabled technology products. Our APIs and customizable hosted products allow legacy and developing software to integrate AI modules readily available in the market. Key Responsibilities : * Model Development: Design, build, train, and fine-tune machine learning models to solve specific business problems. * AWS Integration: Leverage various AWS services for the AI/ML lifecycle, including Amazon SageMaker, S3 for data storage, EC2 for compute, and Lambda for serverless functions. * Data Handling: Collaborate with data scientists and data engineers to manage and optimize data pipelines, ensuring data quality and availability for model training. * Deployment and MLOps: Deploy models into production, monitor their performance, ensure accuracy, and maintain the systems in an MLOps (Machine Learning Operations) environment. * Collaboration: Work within cross-functional teams (software engineers, data scientists, product managers) to align AI solutions with business objectives. * Optimization & Scaling: Focus on optimizing model performance, ensuring scalability, reliability, and cost-effectiveness of AI solutions on the AWS cloud. * Code Review & Best Practices: Participate in design discussions, conduct code reviews, and champion best practices for software development and AI/ML systems. Required Skills and Qualifications: * Education: A Bachelor's degree in Computer Science, Data Science, Engineering, or a related quantitative field. * Experience: 2+ years of professional, non-internship experience in an AI Specialist, Data Scientist, or Machine Learning Engineer role. * Programming Languages: Strong proficiency in Python is essential, and experience with other languages like Java or R may be beneficial. * ML Frameworks: Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. * AWS Services: Solid experience with core AWS services and specific AI/ML tools (e.g., S3, EC2, Lambda, and especially Amazon SageMaker). * Problem-Solving: Strong analytical and problem-solving skills, with the ability to work with complex datasets.