Siemens AI/ML Engineer 

India, Karnataka, Bengaluru 

722611407

• Developing, training, and deploying machine learning models to solve real-world problems.

• Designing and implementing scalable AI/ML pipelines, from data preprocessing to model deployment.

• Collaborating with data engineers and backend teams to integrate models into production systems.

• Optimizing algorithms and models for performance, accuracy, and efficiency.

• Conducting exploratory data analysis to uncover insights and inform model development.

• Staying abreast of the latest AI/ML advancements and apply them to enhance project outcomes.

• Troubleshooting and refining models with minimal guidance, ensuring robustness and reliability.

• 3-5 years of experience in AI/ML development, with a focus on practical applications.

• Strong proficiency in Python and libraries such as TensorFlow, PyTorch, scikit-learn, or Keras.

• Experience with data manipulation tools (e.g., Pandas, NumPy) and working with large datasets.

• Knowledge of supervised and unsupervised learning techniques, NLP, or computer vision (depending on project needs).

• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for model training and deployment.

• Ability to work independently, prioritize tasks, and deliver high-quality results with minimal oversight.

• Solid understanding of software engineering principles and version control (e.g., Git).

• Excellent analytical skills and a strong foundation in statistics and mathematics.

• Experience with MLOps tools (e.g., MLflow, Kubeflow) or containerization (e.g., Docker).

• Familiarity with big data frameworks like Spark or Hadoop.

• Prior work in deploying AI models in production environments or real-time systems.

• Exposure to Agile methodologies or cross-functional team settings.