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Director AI Architect

Director AI Architect

BirdeyeGurugram, Haryana, India
15 days ago
Job description

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 field
  • Minimum 10-15 years in architecting, designing, and implementing AI / ML solutions and enterprise applications
  • Experience 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 solutions
  • Experience 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 Jenkins
  • Proficiency in programming languages such as Python, R, SQL
  • Familiarity 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

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