Job Url: https://www.remoterocketship.com/company/mechanized-ai/jobs/genai-engineer-united-states-remote Job Description: Mechanized AI Website LinkedIn All Job Openings Mechanized AI is a cutting-edge technology company that specializes in modernizing legacy systems for enterprises. By utilizing AI-powered solutions, Mechanized AI enables businesses to upgrade their outdated codebases, migrate virtual machines, and transform complex legacy applications into modern, scalable architectures swiftly and accurately. With a focus on minimizing risks and enhancing the deployment of new features, Mechanized AI is committed to accelerating digital transformation and delivering significant business results. Big Data β€’ Data Cleaning β€’ Artificial Intelligence β€’ AI β€’ Machine Learning 11 - 50 employees Founded 2023 πŸ€– Artificial Intelligence 🏒 Enterprise ☁️ SaaS GenAI Engineer 4 days ago πŸ‡ΊπŸ‡Έ United States – Remote ⏰ Full Time 🟑 Mid-level 🟠 Senior πŸ€– AI Engineer AWS Azure Cloud Docker Google Cloud Platform Keras Kubernetes Microservices PySpark Python PyTorch Scikit-Learn Tensorflow Terraform Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ We are seeking a highly skilled GenAI Engineer to play a key role in advancing our AI-driven platform and client solutions. β€’ The ideal candidate has 4+ years of hands-on ML experience beyond academia, thrives in fast-paced environments, and enjoys solving complex technical challenges. β€’ A strong foundation in cloud-based ML solutions, AI model deployment, and optimization techniques is essential. β€’ Those with a passion for staying at the forefront of AI advancements and delivering high-impact solutions will excel in this role. β€’ Contribute to building and enhancing our Mechanized AI platform and AI-enabled products including mAI. β€’ Modernize. β€’ Serve as ML SME on client projects as needed. β€’ Design ML systems. β€’ Research and implement appropriate ML algorithms and tools. β€’ Select appropriate datasets and data representation methods. β€’ Run ML tests and experiments. β€’ Perform statistical analysis and fine-tuning using test results. β€’ Train and retrain systems when necessary. β€’ Extend existing ML libraries and frameworks. β€’ Stay current with emerging technologies and ML best practices to continuously improve our methodologies and tools. 🎯 Requirements β€’ 4+ years of ML experience at a start-up or larger enterprise – high priority β€’ 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications – high priority β€’ Client delivery experience – high priority β€’ Effective written and oral communications skills (C1/C2 - advanced/proficient level English is required) – high priority β€’ Bachelor’s degree in computer science, software engineering or related field β€’ Experience with cloud environments (e.g., AWS, Azure, GCP) β€’ Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn) β€’ Experience developing, deploying, and managing/monitoring models β€’ Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture β€’ Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies β€’ Advanced experience in NLP techniques and applications β€’ Strong proficiency in Python programming β€’ Familiarity with prompt engineering approaches and best practices β€’ Knowledge of data structures, data modeling, and software architecture β€’ Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues β€’ Ability to work independently and as part of a collaborative team in a fast-paced environment Apply Now