Director AI Architect
Role Description : This is a full-time role for a Senior AI Architect at Birdeye.
Primary Skills : AI / Data Science, Machine Learning, Deep Learning, Statistics, GenAI / LLM, Natural Language Processing (NLP), Cloud computing(Azure / AWS / GCP), MLOps, CI / CD, kubernetes, Dockers / Containers, Python, R
Roles & Responsibilities :
- Design and implement scalable, robust and cost-effective ML / DL infrastructure to support end-to-end Machine Learning workflows.
- Architect and develop GenAI solutions using the latest techniques such as RAG, transformer architecture, etc. in building meaningful and intricate GenAI solutions
- Develop architecture blueprints, technical designs, and implementation plans for AI / ML projects.
- Evaluate and select appropriate AI / ML technologies, frameworks, and tools based on project requirements and industry best practices.
- Build and maintain Generative AI workflows, including model training or fine-tuning, and establishing feedback loops
- Develop and maintain CI / CD pipelines for ML models, ensuring smooth deployment and monitoring in production environments.
- Collaborate with Product Managers and stakeholders to understand their business objectives, challenges, and opportunities for leveraging AI / ML technologies.
- Provide technical guidance and leadership to cross-functional teams throughout the project lifecycle
- Collaborate with data scientists and software engineers to streamline the model development lifecycle, from experimentation to deployment and monitoring.
- Implement best practices for version control, testing, and validation of ML models.
- Ensure high availability and reliability of ML systems, including performance monitoring and troubleshooting.
- Stay current with the latest advancements in AI / ML research, methodologies, and tools, and incorporate them into our solution offerings
- Mentor junior team members and guide MLOps best practices and AI advancements.
Qualifications :
PhD in Computer Science, Statistics, Software Engineering, or a related technical fieldMinimum 10-15 years in architecting, designing, and implementing AI / ML solutions and enterprise applicationsExperience in designing and implementing ML infrastructure and MLOps pipelines.Hands-on experience in GenAI architectures and frameworks such as RAG, vectorization and embeddings, and multi-agent GenAI architecture solutionsExperience working with multiple LLMs including Azure Open AI, LLAMA, Claude, Gemini, etc.Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.Understanding of ML model lifecycle management, including versioning, monitoring, and retraining.Uphold ethical standards in AI, focusing on the responsible use of GenAI models, data privacy, security, and ensuring compliance with regulatory requirements like HIPAA, GDPR and CCPA.Proficiency in Cloud platforms such as AWS, Azure or GCP.Strong experience with containerization and orchestration tools like Docker and Kubernetes and CI / CD tools like JenkinsProficiency in programming languages such as Python, R, SQLFamiliarity with data engineering tools and frameworks like Apache Spark, Hadoop, or Kafka.Knowledge of data visualization tools and techniques like Tableau, and PowerBI.Excellent communication and technical documentation skills.Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.Interested candidates, please send their resumes to iqbal.kaur@birdeye.com
Regards
Iqbal Kaur