Job Summary

- Design and Develop: Architect and develop Python-based applications that apply generative AI models to address complex client challenges.
- Cloud Integration: Implement and manage cloud-hosted AI solutions, ensuring seamless integration with existing client infrastructures.
- Client Collaboration: Engage with business to understand the use case, create high-level design and technical approach documents, collaborating with the development team to deliver technical assistance and solutions
- Proof of Concepts (PoCs): Lead the development of PoCs to demonstrate the potential of generative AI applications, adapting quickly to evolving project requirements.
- Technical Leadership: Mentor junior developers, review code, and ensure alignment with AI solution development and software standards of company.
- Continuous Learning: Stay abreast of the latest advancements in generative AI and cloud technologies, integrating new methodologies and tools as appropriate.

What You Bring





- Bachelor s or 'Master s degree or equivalent experience' in Computer Science, Engineering, or a related field.
- Minimum of 5 years of professional experience in Python development, with at least 2 focused on AI/ML applications
- Proficiency in Python and familiarity with AI frameworks such as TensorFlow or PyTorch.
- Experience with cloud platforms (AWS, Azure, or Google Cloud) and their AI service offerings.
- Knowledge of API development and microservices architecture.
- Experience in deploying AI models into production environments.
- Familiarity with data preprocessing and feature engineering.. Exposure to natural language processing (NLP) and computer vision applications.
- Solid communication skills, capable of articulating complex technical concepts to non-technical customers.

📌 Senior Solution Architect - AI/ML Specialist (Pune)
🏢 Siemens Energy
📍 Pune