Ai Architect (Remote)

Ai Architect | Intersoft Data Labs | Worldwide

Position Summary:
As an AI Architect, you will be responsible for designing, developing, and deploying AI solutions that align with our strategic objectives. Your role will focus on leveraging RAG techniques, large language models, and AI engineering pipelines to create scalable, high-performance AI systems. This role requires a deep understanding of RAG, machine learning algorithms, model evaluation, and the ability to collaborate with cross-functional teams to bring AI-driven products to market.

Key Responsibilities:

• Design and Architecture: Lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques, large language models, and other machine learning algorithms.
• RAG Implementation: Develop and fine-tune RAG systems to enhance the performance and relevance of AI-driven outputs, integrating external data sources seamlessly into generative models.
• Model Development and Fine-Tuning: Develop, fine-tune, and optimize machine learning models, ensuring high accuracy and efficiency in alignment with project goals.
• Engineering Pipelines: Build and maintain engineering pipelines for model training, evaluation, and deployment, with an emphasis on RAG methodologies to ensure robust and scalable AI solutions.
• Evaluation and Benchmarking: Conduct thorough evaluation and benchmarking of AI models, including RAG systems, to compare performance and make data-driven decisions for model selection.
• Collaboration: Work closely with data scientists, engineers, and product managers to integrate AI models into production environments, ensuring seamless operation and alignment with business needs.
• Innovation: Stay abreast of the latest advancements in AI, machine learning, and RAG, incorporating new techniques and tools to enhance our AI capabilities.
• Documentation and Standards: Develop and maintain comprehensive documentation for AI and RAG systems, establishing best practices and standards for AI development within the organization.
• Mentorship: Provide guidance and mentorship to junior AI engineers and data scientists, fostering a culture of continuous learning and improvement.

Qualifications:

• Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field. PhD is a plus.
• Experience: 5+ years of experience in AI/ML engineering, with a focus on large language models, fine-tuning, RAG, and model evaluation.
• Technical Skills:

• Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other relevant AI/ML frameworks.
• Deep understanding of Retrieval-Augmented Generation (RAG) techniques, machine learning algorithms, natural language processing (NLP), and neural network architectures.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure, including AI/ML services and tools.
• Strong knowledge of data pipelines, model versioning, and deployment strategies.

Tagged as: remote, remote job, virtual, Virtual Job, virtual position, Work at Home, work from home