We are seeking a Machine Learning Engineer with a passion for developing production-grade software services and solving intriguing problems using Large Language Models (LLMs), data, and creative thinking.
Join us in creating our next-generation automatic sports video content engine. If youre enthusiastic about cutting-edge NLP and Generative AI development, we want you!
As a Machine Learning Engineer, youll tackle complex business challenges using state-of-the-art NLP models in areas such as text generation, text classification, question answering, information retrieval, and more. You will collaborate closely with engineers, scientists, and product managers to make ourlanguage platform the best in its class.
What youll do:
Design and develop the engineering infrastructure to support all ML-related activities
Work closely with Data Scientists and other stakeholders to define the ML system requirements for experimentation and production
Define internal quality processes in the team, including code reviews, testing methodologies, and deployment processes
Work on various tasks: architecture and design, coding, monitoring, working with cloud services, and working closely with MLOps
Continuously explore new tools and practices in the ML and cloud processing world that can be harnessed for our mission to build a smooth ML development and serving pipeline
Identify improvement opportunities, such as automating manual processes and cost-reduction opportunities
Join us in creating our next-generation automatic sports video content engine. If youre enthusiastic about cutting-edge NLP and Generative AI development, we want you!
As a Machine Learning Engineer, youll tackle complex business challenges using state-of-the-art NLP models in areas such as text generation, text classification, question answering, information retrieval, and more. You will collaborate closely with engineers, scientists, and product managers to make ourlanguage platform the best in its class.
What youll do:
Design and develop the engineering infrastructure to support all ML-related activities
Work closely with Data Scientists and other stakeholders to define the ML system requirements for experimentation and production
Define internal quality processes in the team, including code reviews, testing methodologies, and deployment processes
Work on various tasks: architecture and design, coding, monitoring, working with cloud services, and working closely with MLOps
Continuously explore new tools and practices in the ML and cloud processing world that can be harnessed for our mission to build a smooth ML development and serving pipeline
Identify improvement opportunities, such as automating manual processes and cost-reduction opportunities
Requirements:
B.Sc. in Computer Science/Electrical Engineering/related field from a well-known university
3+ years of Production-grade Python coding experience
3+ years of experience in designing, developing, and deploying data pipelines and machine learning models in production at scale
Experience as an ML/NLP engineer with modern ML frameworks like PyTorch and/or LLM APIs like OpenAIs GPT
Experience with Cloud technologies (Azure / GCP / AWS)
Advantage: Experience with Generative AI (e.g. LLMs)
Advantage: familiar with ML tools such as W&B or ClearML
Comfortable working in a fast-paced, dynamic work environment
An excellent team player, dependable, gets the job done
B.Sc. in Computer Science/Electrical Engineering/related field from a well-known university
3+ years of Production-grade Python coding experience
3+ years of experience in designing, developing, and deploying data pipelines and machine learning models in production at scale
Experience as an ML/NLP engineer with modern ML frameworks like PyTorch and/or LLM APIs like OpenAIs GPT
Experience with Cloud technologies (Azure / GCP / AWS)
Advantage: Experience with Generative AI (e.g. LLMs)
Advantage: familiar with ML tools such as W&B or ClearML
Comfortable working in a fast-paced, dynamic work environment
An excellent team player, dependable, gets the job done
This position is open to all candidates.
