Artificial Intelligence/Machine Learning Architect - Generative AI

Description :

- Design, develop, and deploy AI/ML architectures for enterprise-scale applications.

- Lead Generative AI and NLP initiatives, including working with LLMs, embeddings, transformers, and text analytics.

- Collaborate with business and engineering teams to translate requirements into AI-driven solutions.

- Oversee the entire ML lifecycle : data preprocessing, feature engineering, model development, evaluation, deployment, and monitoring.

- Drive MLOps best practices, ensuring scalable, reliable, and maintainable AI/ML pipelines.

- Evaluate and integrate open-source frameworks, APIs, and tools like LangChain, Hugging Face, OpenAI, etc.

- Mentor technical teams and provide thought leadership on AI/ML strategy, architecture, and best practices.

- Ensure AI solutions comply with ethical standards, data privacy, and security policies.

Technical Skills :

- Programming : Advanced proficiency in Python and related AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, spaCy.

- AI/ML Expertise : Experience with supervised, unsupervised, and reinforcement learning algorithms.

- GenAI & NLP : Hands-on experience with LLMs, prompt engineering, embeddings, and NLP pipelines.

- Data & Cloud : Expertise in data preprocessing, model optimization, and deployment on AWS, Azure, or GCP.