Applied Machine Learning Engineer

The opportunity We are looking for an Applied Machine Learning Engineer to help design, evolve and test machine learning based applications. This role focuses on building, deploying and monitoring accurate, scalable, secure and reliable machine learning pipelines that will run on enterprise grade systems. Moreover, the key aspect of the work is experimental work for specific customer use cases and development purposes. Customer centric focus is essential. Fast troubleshooting, usability and accuracy are major performance KPI’s for this role. We are looking for the self-motivated team player who wants to learn about all product components and contribute to improvement in all areas. How You'll Make a Difference Practical implementation of ML models, algorithms and data transformationsCode developmentEnsuring the high quality of the code by application of best practices and dev toolsAnalyzing business requirements and translating them into technical designs (reading and writing technical documentation);Running data science experiments for specific use cases and general improvementsSales support (demos for customers)Existing clients support (troubleshooting, automation scripts development, example preparation)AI agents development and configurationWriting unit testsCI/CD development and testing processes automationCode containerizationDeployment and monitoring of ML pipelines to cloudContribute to frontend and backend requirementsCode reviewsDocumentation of your workPresentation results for stakeholders Your background Degree in computer science, mathematics, or engineering; a PhD is considered a strong assetGood skills in Data Analytics and transformations (SQL, ETL, scripting, Power BI)Ability to work effectively in a team and contribute to shared goals, with strong attention to detail, accuracy, and a genuine interest in technology, along with a willingness to share knowledgeYou bring a strong problem-solving mindset and the persistence needed to deliver and document high-quality technical solutionsVery good knowledge of Python and data science frameworks (e.g., TensorFlow, Pytorch, Pandas, scikit-learn, Numpy)Hands-on skills in modern AI, including large language models (LLMs) and AI agentsSome experience applying numerical methods, stochastic process modeling, Bayesian statistics, Monte Carlo analysis, probabilistic modeling, nonlinear dynamical systems modeling, and statistical filteringExperience with GIT, Azure DevOpsGood knowledge of Docker, Kubernetes, and cloud monitoring More About Us At Hitachi Energy, we recognize that our people are at the heart of our success. We are committed to providing a supportive and inclusive workplace, competitive rewards, and opportunities for professional and personal growth. Our benefits package is designed to help employees thrive both at work and in their personal lives. Our Benefits Offering For This Role Generally Includes Private medical care and life insuranceAccess to fitness and wellness programsAccess to benefits platform with discounts and perksEmployee Capital Plans (PPK)Equipment for working from home or allowances for setting up a workplace at homeSpectacles and contact lenses allowanceCompany events and team‑building activitiesPsychological support programFree parking available Add if applicable: additional benefits may apply depending on the role, grade, and business requirements. You will receive more specific information during the recruitment process. Publication date : 2026-07-15