Senior Machine Learning Engineer

Scope of Responsibilities

• Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform
• Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods
• Ability to work with taxonomy experts to create and validate dataset annotation
• Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features
• implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Ark.ai platform to enhance user experience.
• Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system
• Establish meaningful criteria for evaluating algorithm performance and suitabilityImplement working, scalable, production-ready models and code
• Keep up to date with Machine Learning best practices and evolving open-source frameworks
• Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
• Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers

Qualifications

• US Citizenship is Required


Required Skills:
• Advanced degree, or bachelor’s with at least 3 years of experience, in Data Science, Machine Learning or a related field
• Minimum 3 years experience with hands-on development of NLP models
• In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling
• Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models
• Advanced software skills in Python
• Advanced ability in forming SQL queries
• A strong desire to learn, investigate, and implement cutting-edge technologies
• Ability to work collaboratively throughout the design process.


Desired Skills:
• Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
• Experience in or exposure to the nuances of a startup or other entrepreneurial environment
• Experience in deploying ML models in Kubernetes environments
• Experience developing custom training sets for large language models
• Experience productionizing transformer-based models