| Detailed JD (Roles and Responsibilities) | | Key Responsibilities 1. GenAI Expertise - Hands-on experience with GenAI platforms such as ChatGPT Copilot Azure OpenAI Hugging Face Transformers etc.
- Design develop and deploy GenAI solutions for business use cases including content generation summarization automation and intelligent assistants.
- Apply prompt engineering model fine-tuning and evaluation techniques to improve GenAI outputs.
- Integrate GenAI capabilities into enterprise applications and workflows.
2. Python & Data Science - Develop and maintain AI/ML models using Python and libraries such as pandas NumPy scikit-learn TensorFlow PyTorch LangChain.
- Perform data analysis feature engineering and model validation to support GenAI applications.
- Build data pipelines and automate data processing tasks for scalable AI solutions.
- Use Python for API integration backend logic and orchestration of GenAI workflows.
3. Cloud Technologies - Deploy and manage GenAI and ML solutions on cloud platforms like Azure AWS or GCP.
- Utilize cloud-native services such as Azure Machine Learning AWS SageMaker GCP Vertex AI and serverless functions.
- Ensure scalability security and compliance of cloud-based AI solutions.
- Implement CI/CD pipelines and containerization using Docker Kubernetes for GenAI applications.
4. Business Analysis & AI Integration - Translate business requirements into technical specifications for GenAI solutions.
- Conduct stakeholder workshops to identify opportunities for GenAI adoption.
- Align AI initiatives with business strategy and KPIs.
- Collaborate with cross-functional teams to ensure successful implementation and adoption.
5. Agile & Collaboration - Work within Agile teams contributing to sprint planning backlog refinement and iterative delivery.
- Partner with Product Owners Developers and Data Scientists to co-create GenAI features.
- Advocate for continuous improvement and Agile best practices in AI development.
6. Risk Compliance & Ethics - Ensure GenAI solutions adhere to data privacy security and ethical standards (e.g. GDPR AI ethics).
- Collaborate with risk and compliance teams to mitigate potential issues.
- Maintain transparency and explainability in AI models and outputs.
7. Continuous Learning & Innovation - Stay updated on the latest trends in GenAI LLMs Python frameworks cloud AI services and data science.
- Experiment with emerging tools and techniques to enhance solution capabilities.
- Share knowledge and mentor team members on GenAI best practices.
|
| Mandatory skills | | - Proven experience with GenAI platforms and LLMs.
- Strong proficiency in Python for AI/ML development.
- Solid understanding of data science principles and model lifecycle.
- Experience with cloud platforms and deploying AI solutions in production.
- Familiarity with Agile methodologies and cross-functional collaboration.
- Excellent communication and stakeholder engagement skills.
|
| Work Location | | Bangalore ONLY (Hybrid) |
| Mode of Interview- Telephonic/Face to Face/Video Interview | | Face to Face |
Detailed JD (Roles and Responsibilities) Key Responsibilities 1. GenAI Expertise Hands-on experience with GenAI platforms such as ChatGPT Copilot Azure OpenAI Hugging Face Transformers etc. Design develop and deploy GenAI solutions for business use cases including content generation summar...
| Detailed JD (Roles and Responsibilities) | | Key Responsibilities 1. GenAI Expertise - Hands-on experience with GenAI platforms such as ChatGPT Copilot Azure OpenAI Hugging Face Transformers etc.
- Design develop and deploy GenAI solutions for business use cases including content generation summarization automation and intelligent assistants.
- Apply prompt engineering model fine-tuning and evaluation techniques to improve GenAI outputs.
- Integrate GenAI capabilities into enterprise applications and workflows.
2. Python & Data Science - Develop and maintain AI/ML models using Python and libraries such as pandas NumPy scikit-learn TensorFlow PyTorch LangChain.
- Perform data analysis feature engineering and model validation to support GenAI applications.
- Build data pipelines and automate data processing tasks for scalable AI solutions.
- Use Python for API integration backend logic and orchestration of GenAI workflows.
3. Cloud Technologies - Deploy and manage GenAI and ML solutions on cloud platforms like Azure AWS or GCP.
- Utilize cloud-native services such as Azure Machine Learning AWS SageMaker GCP Vertex AI and serverless functions.
- Ensure scalability security and compliance of cloud-based AI solutions.
- Implement CI/CD pipelines and containerization using Docker Kubernetes for GenAI applications.
4. Business Analysis & AI Integration - Translate business requirements into technical specifications for GenAI solutions.
- Conduct stakeholder workshops to identify opportunities for GenAI adoption.
- Align AI initiatives with business strategy and KPIs.
- Collaborate with cross-functional teams to ensure successful implementation and adoption.
5. Agile & Collaboration - Work within Agile teams contributing to sprint planning backlog refinement and iterative delivery.
- Partner with Product Owners Developers and Data Scientists to co-create GenAI features.
- Advocate for continuous improvement and Agile best practices in AI development.
6. Risk Compliance & Ethics - Ensure GenAI solutions adhere to data privacy security and ethical standards (e.g. GDPR AI ethics).
- Collaborate with risk and compliance teams to mitigate potential issues.
- Maintain transparency and explainability in AI models and outputs.
7. Continuous Learning & Innovation - Stay updated on the latest trends in GenAI LLMs Python frameworks cloud AI services and data science.
- Experiment with emerging tools and techniques to enhance solution capabilities.
- Share knowledge and mentor team members on GenAI best practices.
|
| Mandatory skills | | - Proven experience with GenAI platforms and LLMs.
- Strong proficiency in Python for AI/ML development.
- Solid understanding of data science principles and model lifecycle.
- Experience with cloud platforms and deploying AI solutions in production.
- Familiarity with Agile methodologies and cross-functional collaboration.
- Excellent communication and stakeholder engagement skills.
|
| Work Location | | Bangalore ONLY (Hybrid) |
| Mode of Interview- Telephonic/Face to Face/Video Interview | | Face to Face |
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5 hours ago
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