Description:

Architect, build, and optimize a machine learning inference platform.
Collaborate with cross-functional teams to translate business objectives into engineering solutions.
Develop high-performance, cost-effective inference systems for various models.
Provide technical leadership and mentorship to the engineering team.

Requirements:

Design and implement scalable ML inference systems.
Hands-on experience with TensorFlow, Keras, or Spark MLlib.
Strong foundation in machine learning algorithms, NLP, and statistical modeling.
Proficiency in Java, Python, or C++.
Ability to tackle complex challenges and propose innovative solutions.
Experience in Apache Hadoop ecosystem and public cloud services like GCP and Vertex AI.
Apply model optimization techniques to production environments.
Understanding of LLM architectures and deployment trade-offs.
Bachelor's degree in Computer Science with 8 years of experience or Master's degree with 6 years.
Specialization in Machine Learning preferred.

Full-time position with the flexibility of remote work.
Opportunity to work with cutting-edge machine learning and deep learning models.
Chance to collaborate with a high-performing engineering team.
Competitive salary and benefits package.
Mentorship and professional growth opportunities.