As a Machine Learning Engineer, your role will be instrumental in democratizing machine learning models across our company, harnessing our extensive data to drive informed decision-making. You will collaborate closely with data scientists and engineering teams, providing them with user-friendly frameworks for machine learning model execution and empowering every team at our company to easily leverage large language models (LLMs) in their daily workflows.
Responsibilities
Enhance and extend our machine learning framework to incorporate features like LLM observability, Feature Store, and SageMaker serving.
Provide technical guidance and support to enable data scientists to effectively utilize the framework.
Collaborate with cross-functional teams to develop advanced machine learning based recommendation systems.
Responsibilities
Enhance and extend our machine learning framework to incorporate features like LLM observability, Feature Store, and SageMaker serving.
Provide technical guidance and support to enable data scientists to effectively utilize the framework.
Collaborate with cross-functional teams to develop advanced machine learning based recommendation systems.
Requirements:
Minimum of 2 years of experience in developing and deploying production-level machine learning based services.
Proficiency in ML & LLM frameworks such as MLFlow, LangChain, and AWS Bedrock.
Advanced programming skills in Python.
Experience with cloud computing platforms, particularly AWS.
Advantages
Experience in deploying deep learning models using GPUs on AWS cloud.
Familiarity with Kubernetes (K8s) for container orchestration.
Experience working in an Agile development environment.
Bachelors degree or higher in Computer Science or a related field.
Minimum of 2 years of experience in developing and deploying production-level machine learning based services.
Proficiency in ML & LLM frameworks such as MLFlow, LangChain, and AWS Bedrock.
Advanced programming skills in Python.
Experience with cloud computing platforms, particularly AWS.
Advantages
Experience in deploying deep learning models using GPUs on AWS cloud.
Familiarity with Kubernetes (K8s) for container orchestration.
Experience working in an Agile development environment.
Bachelors degree or higher in Computer Science or a related field.
This position is open to all candidates.
