Generative AI Consultant - Tensorflow/PyTorch

Key Responsibilities :

- AI Technology Implementation and Solution Development

- Technical Execution of AI Projects

- AI System Integration and Deployment

- Cross-functional Collaboration in AI Implementation

- Technical Contribution to Company's AI Capabilities

Skills and Competencies :

- Technical Expertise (Generative AI, Machine Learning, NLP)

- AI Implementation and Technical Problem-Solving

- Technical Documentation and Knowledge Sharing

- Adaptability and Innovation in AI Applications

- Technical Communication of Complex AI Concepts

Detailed Technical Expertise :

- Deep understanding of Generative AI models (e.g., GPT, BERT, T5)

- Proficiency in Retrieval-Augmented Generation (RAG) techniques

- Advanced Natural Language Processing (NLP) skills

- Experience with Agentic AI solutions and proof-of-concepts

- Expertise in prompt engineering and optimization

- Knowledge of AI model deployment and production environments

- Familiarity with popular AI frameworks (e.g., TensorFlow, PyTorch)

- Ability to keep up-to-date with rapidly evolving AI technologies

- Understanding of AI ethics and responsible AI practices

Performance Indicators :

- AI Solution Quality and Technical Implementation

- AI Project Execution and Delivery

- Technical Quality and Robustness of AI Solutions

- Code Quality and Documentation Standards

- Contribution to Company's AI Technical Capabilities

Growth Potential :

- Ability to expand technical expertise in emerging AI technologies

- Capacity to take on increasingly complex AI implementation projects

- Potential to develop specialized technical skills in key AI domains

Project Experience :

The ideal candidate should have implemented projects such as :

- Large-scale language models fine-tuned for specific business domains

- RAG systems integrated with enterprise knowledge bases

- Conversational AI agents for customer service or internal operations

- AI-driven content generation systems for marketing or documentation

- Predictive models for business forecasting or decision support

- AI-powered automation solutions for business processes

- Proof-of-concepts demonstrating cutting-edge AI capabilities

- AI model optimization for improved performance and reduced costs

- Integration of AI solutions with existing enterprise systems

- Technical development of AI-enhanced products or services