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MissionOG · 3 weeks ago

AI Engineer (New York City)

New York, NY

Full-time

Onsite

Mid Level

MissionOG is a company focused on developing AI-powered Digital Coworkers to enhance workplace efficiency. They are seeking a motivated AI Engineer to develop machine learning systems that address complex business challenges and integrate seamlessly into existing workflows.

B2BFinancial ServicesVenture Capital

Responsibilities

Develop machine learning systems to solve complex business problems and enhance the capabilities of InsurGPT

Collaborate with software engineers and DevOps team members to deploy models into production environments and integrate them with existing systems

Stay updated on the latest advancements in machine learning research and explore innovative approaches to drive continuous improvement

Work closely with cross-functional teams to understand requirements, prioritize tasks, and deliver solutions aligned with business objectives

Design and maintain systems to support strong SLAs on latency and uptime, while managing tradeoffs on resource consumption (CPU, GPU, memory, network)

Improve our current MLOps infrastructure to streamline the deployment, monitoring, and oversight of our machine learning models

Improve vLLM/Triton inference endpoints for real-time integration of Large Language Models into product ecosystems

Monitor model performance in production environments and optimize system efficiency

Collaborate with teams and stakeholders, ensuring effective communication and presence in the office at least three days a week

Qualification

Machine Learning EngineeringPythonLarge Language ModelsPyTorchComputer VisionNLPAnalytical ThinkingProblem-SolvingAttention to DetailWritten CommunicationVerbal Communication

Required

Graduate degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field

Proven experience as a Machine Learning Engineer or similar role, with a strong track record of developing and deploying machine learning models in production environments

Proficiency in Python and familiarity with machine learning libraries and frameworks such as PyTorch, Scikit-learn, Pandas, Numpy etc

Excellent knowledge and good practical skills in major ML algorithms as applied to large language models, traditional NLP, computer vision and information retrieval

Strong problem-solving skills, analytical thinking, and attention to detail, with the ability to translate business requirements into technical solutions effectively

Excellent written and verbal communication skills, with a strong emphasis on the written word. We highly appreciate public articles or blogs that highlight communication skills

Demonstrated ability to work independently, prioritize tasks, and manage multiple projects simultaneously in a fast-paced and dynamic environment