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Premium Employer

Siemens

Compare

4.1

based on 4.6k Reviews

1 Siemens Machine Learning Engineer Job

Full Stack and Machine Learning Engineer

Siemens Limited

4.1

based on 4.6k Reviews

1-4 years

Pune

1 vacancy

Full Stack and Machine Learning Engineer

Siemens

posted 27d ago

Job Role Insights

Flexible timing

Key skills for the job

Python Cloud Computing Machine Learning Backend CCTV Monitoring Agile Coaching

+ 3 more

Job Description

We are seeking a highly experienced Senior Software Engineer to join our team as a Machine Learning expert with Full Stack development capabilities with Python, Java Spring Boot and Angular. You will be accountable for designing, developing, and maintaining the ML engine platform, ensuring its reliability, efficiency, and effectiveness. Furthermore, responsible for maintaining the machine learning engine that powers our web application.

Key Responsibilities:

Collaborate with UI and Java Backend teams to integrate new forecasting and regression models into the existing architecture
Design, develop, and maintain the machine learning engine, focusing on optimizing model performance and accuracy
Work closely with data scientists to refine and implement new machine learning algorithms for forecasting and regression tasks
Troubleshoot and resolve complex issues related to model deployment, prediction, or inference
Perform regular monitoring and maintenance tasks to ensure the ML engine is running efficiently and effectively

Model Deployment and Hosting:

Design, develop, and deploy a scalable model hosting platform e.g. using Kubeflow, Kserve etc
Configure and handle the platform for seamless model serving and inference
Ensure models are accurately versioned, tracked, and deployed with minimal downtime

Required Machine Learning and AI Expertise:

Currently working on machine learning projects and staying up-to-date with the latest trends and techniques
Proven understanding of machine learning fundamentals, including supervised and unsupervised learning, deep learning, and natural language processing
Experience with Generative AI (GenAI) technologies, such as text-to-image models or conversational AI is a plus
Familiarity with explainability techniques and model interpretability methods

Technical Skills:

Programming languages: Java, Python, or other relevant programming languages
Machine Learning Libraries: StatsModel, Scikit-learn, TensorFlow, PyTorch etc
Data Preprocessing: pandas, NumPy, scikit-learn etc
Model Deployment: Docker, Kubernetes (MLflow/Kubeflow is plus)
Cloud Computing Platforms: AWS, Azure, or private cloud platforms
Experience with Java Spring Boot for building scalable web applications
Angular experience for crafting intuitive and user-friendly interfaces

Preferred Knowledge/Skills

Previous experience as a Full Stack Developer with expertise in Java Spring Boot and Angular
Strong understanding of web application architecture and scalability principles
Excellent problem-solving skills and ability to work independently with R&D mindset
Strong communication and collaboration skills, with experience working in agile teams

Good to Have:

Experience with DevOps practices (e.g., Continuous Integration, Continuous Deployment) for machine learning models
Certification in machine learning or data science
Experience with cloud-based machine learning platforms (e.g., AWS SageMaker, Azure Machine Learning)
GenAI exposure

Employment Type: Full Time, Permanent

Read full job description

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