AI Engineer

at  Agio Inc

Agio is a hybrid managed IT and cybersecurity provider servicing the financial services, health care and payments industries. The company has extensive experience supporting the alternative investment space, specializing in hedge funds, private equity firms and asset managers. Agio offers technology hosting, monitoring, management, helpdesk, disaster prevention and recovery, as well as managed security, 360° cybersecurity programs, virtual CISO (vCISO) support and cybersecurity consulting.
We have team members in the US, UK, Canada, India and the Philippines. Our remote work policy allows us to accommodate our employees’ need for flexibility. Our family forward mentality and work-life balance focus empower our employees to live their best life at Agio.

JOB DESCRIPTION

We are looking for an AI engineer that will help us discover the information hidden in vast amounts of IT service data and help us make smarter decisions to create model driven products. Your primary focus will be in applying machine learning on top of a data warehouse and integrated with our various monitoring and delivery platforms. Examples of model driven products we will explore: natural language processing (NLP) solutions using state-of-the-art language models like Large Language Models (LLM) to categorize and route IT issues, using NLP to provide additional context and suggestions for troubleshooting IT issues, and anomaly detection from security and monitoring events.

JOB SUMMARY

• Collaborate with product team to deliver AI-powered products with a focus on utilizing large language models (LLM)
• Innovate new solutions to our users’ biggest problems using machine learning and other technologies as needed

REQUIREMENTS

• Bachelor’s in a quantitative field
• 3+ years experience in a data science or machine learning engineering role
• Experience programming in Python
• Experience working on NLP problems using tools like spaCy and LLM
• Strong problem-solving skills: Ability to identify business problems, translate them into data-driven solutions, and deliver actionable insights. Excellent analytical and critical thinking skills.
• Understanding of common machine learning techniques and algorithms (Random Forest, XGBoost, etc.)
• Strong communication and interpersonal skills

PREFERRED EXPERIENCE (NOT REQUIRED)

• Experience with MSPs (Managed Service Providers)
• Familiarity with IT and/or cybersecurity as an industry

• Create NLP solutions: Utilize your expertise in NLP and hands-on experience with language models like BERT, GPT, etc. to develop and deploy cutting-edge NLP solutions for various applications
• Model Development: Manage model development and prototype lifecycle from data sourcing to model training and/or prompt engineering to deployment
• Team Collaboration: Work closely with the rest of the product team, data science, and engineering to build concepts and requirements
• Data Analysis: In depth data analysis and visualization to provide insight into company efficiency and performance. Work with data engineering to process, cleanse, and verify the integrity of the data used for analysis
• Assist in project delivery: Take ownership of ML projects, manage timelines, and ensure successful project delivery. Collaborate with cross-functional teams, including data engineers, software engineers, and product managers, to define project requirements and deliverables
• Research and stay up to date: Stay abreast of the latest advancements in NLP, machine learning, and deep learning technologies. Conduct research to explore new methodologies, tools, and algorithms that can enhance our existing systems