Machine Learning engineer

Job ID

112774

發布時間

08-七月-2025

組織

Mobility

工作領域

Research & Development

公司

Siemens S.p.A.

經驗等級

中級專業人士

工作职位

全職

工作模式

混合型（遠端/辦公室）

工作性質

長期

任何西門子據點

楚格 - 瑞士

We are a forward-thinking technology company seeking an exceptional Machine Learning Engineer to join our innovative team. As we continue to expand our AI capabilities, we're looking for someone who can help drive our machine learning initiatives and deliver cutting-edge solutions.

Position Overview:

We are seeking a skilled Machine Learning Engineer to design, develop, and deploy machine learning models and AI solutions. The ideal candidate will work closely with cross-functional teams to transform complex business problems into sophisticated ML solutions.

Key Responsibilities:

Design and implement machine learning models and algorithms for various business applications

Develop and maintain scalable ML pipelines for model training and deployment

Collaborate with data engineers to build efficient data pipelines and processing systems

Optimize existing models and architectures to improve performance and efficiency

Work with product teams to integrate ML solutions into production environments

Conduct A/B tests and experiments to measure model performance

Stay current with the latest ML research and technologies

Mentor junior team members and contribute to technical documentation

Required Qualifications:

Master's or Bachelor's degree in Computer Science, Data Science, or related field

3+ years of experience in machine learning or deep learning

Strong programming skills in Python and proficiency with ML frameworks (TensorFlow, PyTorch, or similar)

Experience with ML deployment and productionization

Solid understanding of statistics, mathematics, and machine learning concepts

Proficiency in version control systems (Git) and CI/CD pipelines

Experience with cloud platforms (AWS, GCP, or Azure)

Strong problem-solving and analytical skills

Preferred Qualifications:

Ph.D. in Machine Learning, Computer Science, or related field

Experience with distributed computing and big data technologies (Spark, Hadoop)

Knowledge of containerization (Docker) and orchestration (Kubernetes)

Contributing to open-source projects

Experience with MLOps tools and practices

Published research papers in ML/AI conferences or journals

Technical Skills:

Languages: Python, SQL, R

Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras

Cloud Services: AWS SageMaker, Google AI Platform, or Azure ML

Tools: Docker, Git, Jenkins, MLflow

Databases: MongoDB, PostgreSQL

Big Data: Spark, Hadoop, Kafka

What We Offer:

Competitive salary and benefits package

Health, dental, and vision insurance

401(k) matching

Flexible work arrangements

Professional development opportunities

Modern tech stack and resources

Collaborative work environment

Opportunity to work on challenging problems

How to Apply:

Please submit your resume, cover letter, and relevant portfolio/GitHub links to [email/application portal]. Include examples of machine learning projects you've worked on and their impact.

[Company Name] is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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職位詳情