Title: Machine Learning 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 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 m AI 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 (Gen AI) 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 (Tensor Flow, Py Torch, 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: