Total AI Systems, Inc., headquartered in Lansing, Michigan, specializes in developing commercial software solutions that utilize advanced artificial intelligence to improve business efficiency. We are a profitable, product-based company with offices in the United States, India, and Canada.Our team is made up of rockstars who know that delivering a rockstar performance for our customers means going above and beyond. Whether its early mornings, late nights, or continuous practice and refinement, we are dedicated to providing our very best and having a lot of fun along the way. We take care of our employees, and in turn, they take care of us. We're seeking individuals who are ready to go the extra mile and join us on this journey!We are currently seeking AL/ML Engineers to join our dynamic team. The ideal candidate will possess deep technical expertise in machine learning and artificial intelligence, with a proven track record of developing scalable AI solutions. Your role will involve everything from data analysis and model building to integration and deployment, ensuring our AI initiatives drive substantial business impact.The following are some of the responsibilities for this position:Develop end-to-end AI/ML solutions with a strong focus on GenAI, NLP and predictive analytics.Identifying problems in the current product and working in tandem with AI and backend engineers or the implementation of the solutions to these problems and train/optimize/validate models for all the identified ML/AI/NLP/CV/GenAI problems.Experience delivering and maintaining productionized end-to-end Machine Learning solutions, form data preparation, experimentation, model training, model serving and model update.Design, train, and deploy ML models to production environments.Collaborate with developers, designers and product managers to build scalable and effective solutions.Write clean, maintainable and efficient code in Python and Node.js.Work with various databases (SQL, NoSQL, RDB, etc.) and ensure data integrity.Design and develop backend logic to support ML applications.Leverage cloud platforms (preferably AWS) for deploying and managing AI solutions.Use Docker to containerize applications for streamlined deployment.Continuously explore and integrate new ML tools, frameworks and best practices.This is an exciting position with a growing company and offers a lot of upsides. This is a challenging position that requires dedication and determination. Some requirements of the position include:1-3 years of experience in machine learning engineering or AI, preferably in a SaaS environment.Hands on experience in NLP and generative AI models, with a solid foundation in Python, node js and exposure in model fine-tuning and training.Experience working in a small, product-based company with a hands-on approach.Proven track record of building and delivering software products in a small team environment.Solid understanding of databases (SQL, NoSQL, Relational Database, Low-code, No-code) and data modeling.Experience deploying ML models and services in production environments.Should have experience with NLP, GenAI technologies and cloud platforms (AWS preferred).Working knowledge of Docker for application deployment.Strong software engineering skills with an interest in end-to-end development.Passion for learning and exploring new technologies.Good to have familiarity with PHP.
