Machine Learning Engineer

Your tasks:

• Develop and maintain NLP, ML, and AI applications;
• Train and optimize machine learning and deep learning models on structured and unstructured data;
• Perform feature engineering and build optimized classifiers;
• Enhance machine translation quality through targeted studies, customer-driven improvements and systematic evaluation;
• Define data rules, controls, and governance in collaboration with IT and data stakeholders;
• Ensure data quality, integrity and reliability through validation and cleansing;
• Design and monitor automated anomaly detection systems;
• Apply advanced data mining techniques;
• Design and assess NLP/ML/AI IT architectures, including master and metadata management;
• Contribute to data management strategy, policies and derived IT requirements;
• Manage project risks, issues, changes, and decisions with proper documentation;
• Support business case development, project initiation and solution design through business process improvement.

Requirements:

• Master’s degree in IT or relevant discipline, combined with minimum 15 years of relevant working experience in IT;
• At least 3 years of experience in analyzing, comparing and recommending AI models, architectures and technical solutions, considering performance, operational constraints and risk;
• At least 3 years of experience in developing interfaces with model serving endpoints and LLM APIs;
• At least 3 years of hands-on experience in evaluating and optimizing AI models, including hyperparameter tuning and resolving model output issues;
• At least 3 years of experience in machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised and reinforcement learning models (e.g. k-NN, Naive Bayes, SVM, Decision Forests, Neural Networks, AI frameworks);
• At least 3 years of experience in Python;
• At least 3 years of experience using AWS or Azure, including AI-related services such as ML pipelines, managed training, inference and data storage;
• At least 3 years of recent experience in software development projects (from 2016 onward);
• At least 3 years of recent experience in SQL, distributed/big-data SQL engine, and information extraction (from 2016 onward);
• At least 3 years of experience in Unix and Bash;
• At least 2 years of experience in data management, including collecting, preprocessing, cleaning and organizing large datasets using coding and non-coding tools;