Generative AI Engineer - Python

Description :

We are seeking an experienced leader to design, build, and deploy scalable, ethical Generative AI solutions across the enterprise, ensuring alignment with business goals.

Key Areas of Focus :

1. GenAI Expertise & Development :

- Design, develop, and deploy GenAI solutions for business use cases (content generation, summarization, 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, and ML :

- Develop and maintain AI/ML models using Python and libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch, LangChain).

- Perform data analysis, feature engineering, and model validation.

- Build data pipelines and automate processing for scalable AI solutions.

3. Cloud Deployment & MLOps :

- Utilize cloud-native services (e.g., Azure Machine Learning, AWS SageMaker, GCP Vertex AI).

- Implement CI/CD, Docker, and Kubernetes to ensure scalability, security, and compliance in production

environments.

4. Business Alignment & Agile Collaboration :

- Align AI initiatives with business strategy and KPIs.

- Work effectively within Agile teams, collaborating with Product Owners, Developers, and Data Scientists.

5. Risk, Compliance, and Ethics :

- Maintain transparency and explainability in AI models and outputs.

Mandatory Skills :

- Proven experience with Generative AI platforms and Large Language Models (LLMs).

- Strong proficiency in Python for AI/ML development.

- Solid understanding of data science principles and the end-to-end model lifecycle.

- Experience with cloud platforms (Azure, AWS, or GCP) and deploying AI solutions in production.

- Familiarity with Agile methodologies and excellent communication/stakeholder engagement skills.