Applied Machine Learning Engineer

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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 transformations

• Code development

• Ensuring the high quality of the code by application of best practices and dev tools

• Analyzing business requirements and translating them into technical designs (reading and writing technical documentation);

• Running data science experiments for specific use cases and general improvements

• Sales support (demos for customers)

• Existing clients support (troubleshooting, automation scripts development, example preparation)

• AI agents development and configuration

• Writing unit tests

• CI/CD development and testing processes automation

• Code containerization

• Deployment and monitoring of ML pipelines to cloud

• Contribute to frontend and backend requirements

• Code reviews

• Documentation of your work

• Presentation results for stakeholders

Your background

• Degree in computer science, mathematics, or engineering; a PhD is considered a strong asset

• Good 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 knowledge

• You bring a strong problem-solving mindset and the persistence needed to deliver and document high-quality technical solutions

• Very 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 agents

• Some experience applying numerical methods, stochastic process modeling, Bayesian statistics, Monte Carlo analysis, probabilistic modeling, nonlinear dynamical systems modeling, and statistical filtering

• Experience with GIT, Azure DevOps

• Good 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:

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.

Accessibility and reasonable accommodation

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.

This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.
Background Screening and Security Checks

As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.

For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.

The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.