Artificial Intelligence Engineer

Aires•Pittsburgh, PA

16h•Hybrid

About The Position

Aires (www.aires.com) has been providing best-in-class relocation management services for over 40 years and is a recognized industry leader in delivering high quality relocation and assignment management services to leading corporations. Aires' Innovative Technologies team is creating technologies that mobilize the modern workforce. Our technology enables our customer services teams, our clients, and their employees, as well as our partners to deliver exceptional, industry-leading service. This exciting opportunity is in a high growth environment where you will utilize your experience to design and develop scalable solutions using AI tools and machine-learning models.

Requirements

Bachelor’s degree in Computer Science or related field
Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and natural language processing/generation.
Proficiency in big data tools, cloud platforms, Azure OpenAI, AWS bedrock, AI technologies such as Python, Spark, TensorFlow or scikit-learn etc

Nice To Haves

Understanding of generative AI architectures like RAG, Agentic, multi-model, MCP architectures preferred.
Proficiency in MLOps, LLMOps is a plus.
Excellent customer service and administrative skills
Computer literacy with MS Office products, and ability to grasp proprietary software
Demonstrated ability to manage multiple competing tasks
Ability to follow policies and procedures
Can-do attitude
Genuine desire to help others
Team oriented mindset, with a strong sense of care and urgency
Desire to embrace our core values: Client Focus, Results, Responsibility & Accountability, Collaboration and Innovation.

Responsibilities

Develops and implements machine learning and generative AI models and algorithms to solve complex business problems and enhance AI-driven applications.
Collaborates with cross-functional teams, including data teams, to integrate AI solutions into existing products and services.
Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy.
Stays updated on the latest AI (machine learning and generative AI) advancements, research papers, and tools, incorporating them into AI development projects.
Optimizes AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks.
Gathers external datasets required for the machine learning and generative AI solutions and perform analysis on the effectiveness and accuracy of using those features.
Ensures the scalability, reliability, and performance of AI systems.
Interfaces with third party partner team on a project need basis to analyze requirements, validate solutions, review technical stacks, guide implementations and deployments.