Technical Architect - Artificial Intelligence/Machine Learning

As an experienced AI/ML Technical Architect with over 10 years of professional experience, you will be responsible for designing and scaling AI platforms and delivering enterprise-grade solutions. Your expertise in Machine Learning, Large Language Models (LLMs), LLMOps, and DevOps practices will be crucial in architecting and implementing innovative AI-driven solutions within a hybrid work environment. **Key Responsibilities:** - **AI Platform Development & Scalability** - Architect and build scalable AI platforms tailored to business and customer needs. - Ensure high availability, reliability, and performance of AI solutions. - Collaborate with stakeholders to evangelize platform adoption. - **Learning & Pipeline Design:** - Design and implement ML pipelines for experiment management, model training, deployment, and retraining. - Build and optimize APIs for model inferencing at scale. - Conduct A/B testing and ensure continuous improvement of models. - **LLM Expertise:** - Lead in the design, fine-tuning, and optimization of LLMs to improve accuracy and reduce latency. - Implement distributed training and serving of large language models. - Evaluate and recommend LLM models for specific business use. - **DevOps Practices:** - Implement LLMOps best practices using frameworks such as LangChain, LangGraph, LangFlow, and Flowise. - Manage deployments using Kubernetes, Docker, and container orchestration. - Monitor and optimize systems using tools like Prometheus, Grafana, Kibana. - **Data Systems:** - Design and manage AI solutions across major cloud platforms (AWS, Azure, GCP). - Work with a variety of databases and data warehouses such as DynamoDB, MongoDB, RDS, PostgreSQL, and BigQuery. - Ensure data integrity, scalability, and security in AI/ML solutions. - **Collaboration:** - Provide technical leadership and mentorship to engineering teams. - Partner with cross-functional stakeholders to align solutions with business goals. - Deliver end-to-end solutions from architecture design to production. **Skills & Qualifications:** - 10+ years of professional experience in AI/ML engineering and architecture. - Proven expertise in scaling AI platforms and designing ML pipelines & APIs. - Strong proficiency in LLMs, including fine-tuning, distributed training, and optimization. - Solid experience with LLMOps and DevOps tools & practices. - Proficient in Python, SQL, and JavaScript. - Hands-on experience with cloud platforms: AWS, Azure, GCP. - Strong understanding of modern data systems and microservices architectures. - Excellent leadership, problem-solving, and communication skills. **Certifications (Bonus):** - AWS Professional Solution Architect - AWS Machine Learning Specialty - Azure Solutions Architect Expert Please note that this job description is sourced from hirist.tech.,