Siemens Energy is Hiring: AI/Machine Learning Engineer

About the Role

As an AI/Machine Learning Engineer at Siemens Energy, you will be responsible for designing, developing, and deploying AI and machine learning models to drive business growth and improve operational efficiency. Your day-to-day tasks will involve working with cross-functional teams to identify business problems, develop data-driven solutions, and implement AI and ML models using various libraries and frameworks.

You will have the opportunity to work on a wide range of projects, from predictive maintenance to demand forecasting, and collaborate with experts in the field to stay up-to-date with the latest advancements in AI and ML.

Key Responsibilities

• Design and develop AI and machine learning models using Python and popular libraries such as NumPy, Pandas, scikit-learn, PyTorch, and TensorFlow.
• Work with data scientists and engineers to collect, preprocess, and analyze large datasets to train and validate AI and ML models.
• Implement and deploy AI and ML models in production environments, ensuring high performance, scalability, and reliability.
• Collaborate with cross-functional teams to identify business problems and develop data-driven solutions using AI and ML.
• Stay up-to-date with the latest advancements in AI and ML, and apply this knowledge to improve existing models and develop new ones.
• Contribute to the development of new AI and ML-related features and tools, and participate in code reviews to ensure high-quality code.
• Communicate complex technical concepts to non-technical stakeholders, and provide training and support to end-users.

Skills & Qualifications

• Bachelor's degree in computer science, IT, or a related field.
• 0-3 years of experience or strong academic/project background in AI/ML.
• Good programming skills in Python.
• Strong problem-solving ability and analytical skills.
• Basic understanding of ML concepts, NLP, and model evaluation.
• Exposure to libraries such as NumPy, Pandas, scikit-learn, PyTorch, and TensorFlow.
• Familiarity with Generative AI concepts (LLMs, prompt engineering, or RAG is a plus).

What You'll Learn

As a fresher in this role, you will have the opportunity to learn from experienced professionals and gain hands-on experience in designing, developing, and deploying AI and ML models. You will learn about the latest advancements in AI and ML, and develop skills in data analysis, machine learning, and software development.

You will also have the chance to work on a wide range of projects, from predictive maintenance to demand forecasting, and collaborate with experts in the field to stay up-to-date with the latest advancements in AI and ML.

Resume Tip

When applying for this role, make sure to highlight your experience with Python programming, AI and ML concepts, and data analysis. Include any relevant projects or academic work that demonstrate your skills in these areas, and be prepared to talk about your problem-solving approach and analytical skills.