Everpure
Technology
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer at Everpure. Skills: Machine Learning, Applied AI, NLP, LLM. Design ML/deep learning models. Integrate LLMs and ML models”
What You'll Achieve.
Deliver measurable improvements
Industry & Context.
Problem formulation
What They're Looking For.
Must Have
Experience delivering ML models into production, Hands-on NLP/text ML systems experience, Proficiency in Python, Experience implementing ML pipelines, Ability to design ML solutions, Experience collaborating with engineers, PMs, stakeholders, Communication skills
Nice to Have
LLM-assisted workflows experience
What You'll Do.
Design ML/deep learning models
Integrate LLMs and ML models
Define model training strategies
Maintain ML pipelines
Optimize models for production
Optimize inference pipelines
Translate business challenges
Contribute to architectural decisions
How You'll Work.
Team & Collaboration
Collaborate with software engineers; Collaborate with product managers; Collaborate with business stakeholders
Communication Scope
Explain ML concepts; Explain system behavior
Full Job Description
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE 1touch.io is a technology company focused on automated, real-time discovery, mapping, and tracking of sensitive personal data. Its AI-powered platform helps enterprises improve data privacy, security, and governance across complex on-premises and cloud environments. Together, 1touch.io and Everpure transform enterprise data from passive storage into an intelligent, context-aware, and governed foundation - making it AI-ready at the source so organizations can securely understand, trust, and activate their data at scale. The Machine Learning Engineer / Applied AI Engineer designs, builds, and deploys production-ready AI systems that transform business requirements into scalable, reliable, and high-quality machine learning solutions. This role is responsible for the full lifecycle of ML and LLM-based solutions- from problem formulation and model training to optimization, deployment, and continuous improvement in production. The focus is on NLP, entity extraction, document classification, and LLM-powered automation across multiple business domains. WHAT YOU'LL DO Design and implement ML and deep learning models for discovery and classification use cases, including entity extraction and document classification. Integrate LLMs and ML models into products and automated workflows, delivering measurable improvements in quality and automation. Define model training strategies and collaborate on dataset requirements and design. Build and maintain end-to-end ML pipelines covering training, inference, evaluation, monitoring, and iterative model improvement. Optimize models and inference p
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