Title: AI EngineerJob Type: Full-TimeLocation: RemoteCompany 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 ModernizeServe as ML SME on client projects as neededDesign ML systemsResearch and implement appropriate ML algorithms and toolsSelect appropriate datasets and data representation methodsRun ML tests and experimentsPerform statistical analysis and fine-tuning using test resultsTrain and retrain systems when necessaryExtend existing ML libraries and frameworksStay current with emerging technologies and ML best practices to continuously improve our methodologies and toolsRequired Skills & Experience:4+ years of ML experience at a start-up or larger enterprise – high priority6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications – high priorityClient delivery experience – high priorityEffective written and oral communications skills (C1/C2 - advanced/proficient level English is required) – high priorityBachelor’s degree in computer science, software engineering or related fieldExperience 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 modelsKnowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architectureExpertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologiesAdvanced experience in NLP techniques and applicationsStrong proficiency in Python programmingFamiliarity with prompt engineering approaches and best practicesKnowledge of data structures, data modeling, and software architectureStrong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issuesAbility to work independently and as part of a collaborative team in a fast-paced environmentPreferred Qualifications:Experience in any of the following:Agent developmentData privacyFine tuning LLMsLLM architecture and techniques for performanceMLOpsML evaluationModel decay and data drift detection and handlingPulumi, Terraform, and/or Cloud SDKsPySparkQuantizationRetrieval-augmented generation (RAG) optimizationSecurityVector databasesContact:Gabriel MartinezRecruiterMechanized AI #J-18808-Ljbffr