Artificial Intelligence/Machine Learning Architect
3 weeks ago
Job Overview :
We are seeking an exceptional AI/ML Architect to lead our cutting-edge artificial intelligence and machine learning initiatives.
The ideal candidate will be a visionary technologist capable of designing, implementing, and optimizing complex AI solutions, with a strong focus on generative AI technologies.
Key Responsibilities :
- Design and develop comprehensive architectural solutions for diverse AI and ML projects, with a primary emphasis on generative AI applications.
- Create scalable and robust cloud-based AI infrastructure utilizing platforms like AWS, Google Cloud, and AWS Bedrock.
- Lead the technical design and implementation of AI/ML solutions, ensuring optimal performance, scalability, and efficiency.
- Evaluate, select, and integrate appropriate Large Language Models (LLMs) and generative AI technologies for specific project requirements.
- Develop and maintain best practices for AI solution architecture, including model selection, fine-tuning, and deployment strategies.
- Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
- Conduct technical assessments and provide strategic recommendations for AI technology adoption.
- Guide a team of AI engineers on day to day development across projects.
- Prototype and validate AI/ML solutions, demonstrating proof of concept and technical feasibility.
- Stay current with emerging AI technologies, research, and industry trends.
Technical Skills :
- Extensive hands-on experience with AI/ML technologies and generative AI solutions.
- Profound understanding of machine learning algorithms, neural network architectures, and AI model development.
- Advanced proficiency in cloud platforms, specifically: AWS (AWS Bedrock, SageMaker), Google Cloud AI Platform, Azure AI Services.
- Expert-level programming skills in Python, with strong capabilities in: TensorFlow, PyTorch, Hugging Face Transformers etc, Java or C++.
- Comprehensive experience with Large Language Models (LLMs) such as: ChatGPT, Claude, Llama, BERT etc.
- Experience with vector databases and tools for RAG architecture (e.g, Pinecone, Weaviate, or similar).
- Advanced knowledge of MLOps and AI deployment strategies.
- Experience with multimodal AI models.
- Expertise in speech and voice AI technologies, including : Natural language processing for speech interfaces, Voice recognition and authentication systems, Speech-to-text and text-to-speech technologies.
- Experience with model optimization and efficient AI deployment techniques.
- Understanding of prompt engineering and AI interaction design.
- Experience with containerization and orchestration (Docker, Kubernetes).
- Proficiency in version control systems (Git).
Qualification and Professional Experience :
- Bachelor's or master's degree in computer science, Engineering, Mathematics, Statistics, or a related field.
- Minimum 5-7 years of professional experience in AI/ML architecture and development.
- Proven track record of successfully delivering complex AI/ML projects for various clients over the last few years.
- Demonstrated ability to work across multiple AI/ML frameworks and technologies.
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