Title : AI Engineer Job Type : Full-Time Location : Remote Company Description : Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. We work with enterprise clients to future-proof their applications, helping them meet the demands of today's fast-paced, digital landscape. Our team thrives on solving complex challenges and delivering AI-driven solutions. We foster a culture of creativity, collaboration, and continuous learning. Job Summary : We are seeking a highly skilled AI Engineer to play a key role in advancing our AI-driven platform and client solutions. The ideal candidate has 4+ years of hands-on ML experience beyond academia, thrives in fast-paced environments, and enjoys solving complex technical challenges. A strong foundation in cloud-based ML solutions, AI model deployment, and optimization techniques is essential. Those with a passion for staying at the forefront of AI advancements and delivering high-impact solutions will excel in this role. Key Responsibilities : - Contribute to building and enhancing our Mechanized AI platform and AI-enabled - products including mAI Modernize - Serve as ML SME on client projects as needed - Design ML systems - Research and implement appropriate ML algorithms and tools - Select appropriate datasets and data representation methods - Run ML tests and experiments - Perform statistical analysis and fine-tuning using test results - Train and retrain systems when necessary - Extend existing ML libraries and frameworks - Stay current with emerging technologies and ML best practices to continuously - improve our methodologies and tools Required Skills & Experience : - 4+ years of ML experience at a start-up or larger enterprise – high priority - 6+ months of experience with Large Language Models (LLMs) and Generative AI - GenAI) applications – high priority - Client delivery experience – high priority - Effective written and oral communications skills (C1 / C2 - advanced / proficient level - English is required) – high priority - Bachelor's degree in computer science, software engineering or related field - Experience with cloud environments (e.g., AWS, Azure, GCP) - Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit- - learn) - Experience developing, deploying, and managing / monitoring models - Knowledge of containerization technologies (e.g., Docker, Kubernetes) and - microservices architecture - Expertise in Object-Oriented Programming (OOP) principles and unit test-driven - development methodologies - Advanced experience in NLP techniques and applications - Strong proficiency in Python programming - Familiarity with prompt engineering approaches and best practices - Knowledge of data structures, data modeling, and software architecture - Strong analytical and problem-solving skills, with ability to propose innovative - solutions and troubleshoot issues - Ability to work independently and as part of a collaborative team in a fast-paced - environment Preferred Qualifications : - Experience in any of the following : Agent development - Data privacy - Fine tuning LLMs - LLM architecture and techniques for performance - MLOps - ML evaluation - Model decay and data drift detection and handling - Pulumi, Terraform, and / or Cloud SDKs - PySpark - Quantization - Retrieval-augmented generation (RAG) optimization - Security - Vector databases Contact : Gabriel Martinez Recruiter Mechanized AI