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Full Stack and Machine Learning Engineer
Siemens
posted 5hr ago
Job Role Insights
Flexible timing
Key skills for the job
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
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People are getting interviews through
(based on 244 Siemens interviews)
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26%
18%
16%
15%
5%
4%
16% candidates got the interview through other sources.
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What people at Siemens are saying
Rating based on 4 Machine Learning Engineer
reviews
Anonymous · Data Science
in Bengaluru/Bangalore, Karnataka
Likes
Good work culture
Dislikes
Stagnant salary. Low salaries compared to competitors.
Read 4 reviewsMachine Learning Engineer salary at Siemens
reported by
12
employees
with 1-4
years exp.
₹6.8
L/yr - ₹16
L/yr
49%
more
than the average Machine Learning Engineer Salary in India
View more details
What Siemens employees are saying about work life
based on 4.5k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Siemens Benefits
Submitted by Company
Diversity and Inclusion Hybrid Work Model Work Flexibility Gender Equity
Submitted by Employees
View more benefits 
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