Artificial Intelligence/Machine Learning Architect - Python/NLP (5-8 yrs)

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.