In this role, you will be responsible for designing, developing, and deploying innovative AI solutions, with a focus on generative AI and RAG architectures.

You will also contribute to the strategic direction of our AI initiatives by providing technical leadership, mentoring junior team members, and ensuring best practices in AI development.

You will work closely with cross-functional teams to bring cutting-edge AI products to market.

Key Responsibilities :

AI Strategy & Leadership :

- Provide technical guidance and thought leadership on generative AI technologies and their applications.

- Mentor and support junior engineers, promoting skill development and adherence to best practices.

- Collaborate with product leaders and stakeholders to shape AI-driven solutions aligned with business objectives.

Model Development and Fine-tuning :

- Develop and fine-tune state-of-the-art generative AI models, such as large language models and image generation models.

- Implement techniques for model optimization, including quantization, pruning, and knowledge distillation.

RAG Architecture :

- Design and implement robust RAG architectures to enable efficient information retrieval and generation.

- Integrate diverse data sources and knowledge bases into RAG systems.

- Optimize query processing and response generation for optimal performance.

AI System Development :

- Build scalable and reliable AI systems, including APIs, microservices, and data pipelines.

- Collaborate with ML Ops engineers to deploy and manage AI models in production environments.

- Ensure adherence to security, compliance, and responsible AI practices.

Experimentation and Innovation :

- Stay up-to-date with the latest advancements in AI research and explore new techniques.

- Conduct experiments to improve model performance and system efficiency.

- Contribute to a culture of innovation and continuous learning.

Qualifications and Experience :

- Bachelor's degree in Computer Science, Computer Engineering, or a related field (Masters degree preferred).

- 6+ years of experience in AI/ML, with a strong focus on generative AI and RAG architectures.

- Proven experience in leading or contributing to complex AI projects from ideation to deployment.

- Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch, etc.

- Strong and demonstrable skills in GenAI technologies, such as OpenAI, Anthropic, or Llama.

- Hands-on experience with natural language processing (NLP), computer vision, and machine learning techniques.

- Knowledge of cloud platforms (AWS, Azure, GCP) and their AI/ML services.

- Familiarity with MLOps, CI/CD pipelines, and containerization (Docker, Kubernetes).

- Excellent communication, problem-solving, and stakeholder management skills.