The Machine Learning team forms the core of Sukis product, driving innovation and predictive excellence. you'll leverage your NLP expertise to enhance our computational infrastructure and improve our technical approaches and algorithms. Working directly on the platform powering our domain services, you'll collaborate with cross-functional teams to address NLP challenges and scale our platform for thousands of doctors. you'll manage and curate large datasets, ensuring data quality and relevance for training and evaluation. you'll monitor and analyze system performance metrics, identifying areas for optimization and implementing necessary improvements. By staying updated on NLP and Generative AI advancements, you'll incorporate innovations to maintain our competitive edge, reducing doctors administrative burdens and significantly impacting their daily lives.

Ok, you're sold, but what are we looking for in the perfect candidate

Expertise:
You know how to train models. You understand which models work best, and use LLMs only when necessary. You watch out for recall, accuracy, and precision. In other words, you've done this before.
Action oriented:
You love to build. You like to ship fast, quickly iterate, and see amazement in users eyes.
Creativity:
You enjoy listening to user feedback and then building products in novel ways. you're resourceful and enjoy finding alternate paths to success.
Problem solving:
you use data to help point you in the correct direction. You optimize relentlessly, and understand the impact you're making on the business.
Humility:
you're humble and love working in a team without ego to deliver products
Adaptability:
You thrive in a fast-moving organization that uses light-weight processes and cutting-edge technology to have a huge impact.
Confidence:
You trust your abilities and you're ready to push yourself to the next level.
Communication: You are a clear communicator and demonstrated consensus-builder.

Requirements:

8+ years in overall Machine Learning experience, with at least three years focused on NLP and Contextual Embeddings.
Proven record of an end to end workflow and with moving at least one NLP model to an enterprise production system.
Expert in the understanding, practice, and deployment of state-of-the-art deep neural network models.
Experience in building and maintaining distributed backend services for ML/AI Applications
Strong grasp of CS fundamentals including abstractions, algorithms, probability, data structures and system design is preferred
Strong working knowledge of LLMs, including prompting, orchestration, RAG, context and cost management
Hands-on experience designing and implementing evaluation frameworks for LLM-based systems, including automated evals, human feedback loops, regression testing, and benchmark design

Machine Learning Engineer III (NLP)

Job Description

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