We're looking for AI Engineers!

Responsibilities:

- Design, develop, and operationalize end to end AI & ML models across cloud environments.
- Implement advanced analytics, feature engineering, and model optimization for performance, scalability, and reliability.
- Build production ready ML pipelines using Azure ML, GCP Vertex AI, and associated cloud services.
- Develop CI/CD and AI & MLOps workflows using Docker, Git, and MLflow for automated training and deployment.
- Contribute to architectural decisions, ensure adherence to standards, and create robust, maintainable ML components.
- Conduct experiment design, model evaluation, benchmarking, and documentation.
- Own assigned topics and ensure timely delivery with high technical quality.
- Collaborate with product owners, domain experts, solution architects, and cross functional teams to translate requirements into scalable ML solutions.
- Ensure compliance with Siemens quality, security, and documentation standards.

Qualifications:

- Proficiency in Machine Learning, Deep Learning, Generative AI, and Statistical Modeling.
- Proficiency deploying ML and GenAI solutions at scale using Azure ML, Azure Storage, Azure Kubernetes Service, Vertex AI, BigQuery, or comparable cloud platforms.




- Proficiency in Python, PyTorch, TensorFlow, and widely used ML/AI and GenAI libraries, including Hugging Face Transformers and LangChain, LangGraph, LangSmith, LlamaIndex.
- Knowledge of big-data processing tools such as Spark, Databricks, Dataflow, BigQuery, and Azure Data Factory (good to have).
- Familiarity with containerization (Docker), version control (Git), experiment tracking (MLflow), and automated pipelines for both traditional ML and Generative AI workflows.
- Solid understanding of applied mathematics: probability, optimization, linear algebra, advanced statistics, and their application in generative modeling.
- Familiarity with time-series modeling, computer vision, deep learning architectures, or generative models (e.g., GANs, Diffusion Models, LLMs) is a plus.

(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.)

📌 AI Engineer (Bengaluru)
🏢 Scoutit
📍 Bengaluru