Machine Learning Engineer

October 31

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Mechanized AI

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Machine Learning • MLOps • Data Engineering • Data Pipeline • Data Cleaning

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Description

• 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 breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. • Our team thrives on solving complex challenges and delivering innovative solutions. • As an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. • Job Summary: We are seeking an experienced Machine Learning Engineer to join our growing team. • The ideal candidate will have a background in Machine Learning (ML) with at least four years of experience outside of academia. • They must be passionate about AI and stay up to date with the latest developments in the field. • 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.

Requirements

• 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