
AI Architecture Lead
8 hours ago
As a seasoned AI Architecture Lead, you will spearhead the development of our data and artificial intelligence streams. Your expertise in designing, deploying, and maintaining robust, scalable, and real-world AI systems is crucial to our success.
Key Responsibilities:
- Drive the architecture, design, and implementation of highly scalable and reliable data platforms and AI systems.
- Oversee the end-to-end lifecycle of machine learning models, from experimentation and feature engineering to deployment, monitoring, and maintenance in a production environment (MLOps).
- Mentor junior engineers, set best practices, and perform code reviews to ensure high-quality and efficient code.
- Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to deliver integrated solutions.
- Stay current with the latest advancements in AI, LLMs, machine learning, and data engineering to introduce new technologies and methodologies that improve our capabilities.
Requirements:
- Hands-on experience in AI/ML and data engineering.
- Proven experience designing and implementing scalable AI systems in a production environment.
- Proficiency with modern data platforms and tools, such as Databricks, Snowflake, Apache Spark, Flink, Airflow, and Kafka.
- Strong command of at least one major ML framework, such as TensorFlow or PyTorch.
- Experience with large language models (LLMs) and other generative AI technologies is a significant plus.
- Expert-level proficiency in at least one key programming language, such as Python, Scala, or Java.
What We Offer:
- Competitive compensation package.
- A collaborative and dynamic work environment.
- Ongoing training and professional development opportunities.
- A chance to work on cutting-edge projects and contribute to the growth of our organization.
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