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Our Company We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job Description Job Summary: Hitachi, Ltd. is seeking an AI Engineer to join our Global Development Center (GDC). This role involves developing, deploying, and maintaining cutting-edge artificial intelligence solutions to enhance Hitachi's product and service offerings across various sectors. Job Responsibilities: Design, develop, and implement AI/ML models and algorithms using various programming languages and frameworks (e.g., Python, TensorFlow, PyTorch). Collect, clean, and preprocess large datasets for training and evaluating AI models. Evaluate and optimize model performance, accuracy, and efficiency. Deploy AI solutions into production environments, ensuring scalability and reliability. Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements and integrate AI capabilities. Conduct research and stay abreast of the latest advancements in AI and machine learning. Document AI system architecture, design decisions, and implementation details. Participate in code reviews and contribute to maintaining high code quality standards. Troubleshoot and resolve issues related to AI model performance and deployment. Job Qualifications:** Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related quantitative field. Proven experience (3+ years) in developing and deploying AI/ML solutions. Strong proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras). Experience with data manipulation and analysis tools (e.g., Pandas, NumPy). Solid understanding of machine learning algorithms (e.g., deep learning, supervised/unsupervised learning, reinforcement learning). Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) for AI/ML development and deployment. Experience with version control systems (e.g., Git). Excellent problem-solving, analytical, and communication skills. Ability to work independently and collaboratively in a fast-paced environment. About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.