Artificial Intelligence/Machine Learning Architect
1 day ago
Description :
Key Responsibilities :
- 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.
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