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Generative AI Engineer - Python

Generative AI Engineer - Python

Digivance SolutionBangalore
2 days ago
Job description

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).
  • Must have hands-on experience with GenAI platforms such as ChatGPT, Copilot, Azure OpenAI, Hugging Face Transformers, etc.
  • 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 :

  • Deploy and manage GenAI and ML solutions on major cloud platforms (Azure, AWS, or GCP).
  • 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 :

  • Translate business requirements into technical specifications for GenAI solutions.
  • 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 :

  • Ensure GenAI solutions adhere to data privacy, security, and ethical standards (e.g., GDPR, AI 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.
  • (ref : hirist.tech)

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