Senior AI Engineer

2 weeks ago


Houston, Texas, United States The Friedkin Group Full time
About the Role

We are seeking a highly skilled Senior AI Engineer to join our team at The Friedkin Group. As a key member of our technology team, you will be responsible for designing, developing, and deploying state-of-the-art AI solutions across various business applications.

Key Responsibilities
  • Collaborate with cross-functional teams to design, develop, and maintain complex AI systems.
  • Develop and implement AI interfaces, services, and applications to support business initiatives and projects.
  • Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
  • Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency.
  • Develop User Interfaces (UI) to support business exploration and interaction with AI models.
  • Work with business applications teams to code AI-intensive software and algorithms.
  • Build services for driving intelligent decisions and interacting with machine learning models.
  • Conduct research and stay updated on the latest advancements in AI technology and tools.
  • Analyze and optimize system performance to ensure efficient use of resources.
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, or other relevant technical discipline.
  • 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
  • Strong programming skills in Python and Java; experience with Machine Learning libraries and frameworks.
  • Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j.
  • Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka.
  • Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP).
  • Experience containerizing analytical models using Docker and Kubernetes or other container orchestration platforms.
  • Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure.
  • Experience creating, documenting, and communicating software designs for complex products.
  • Skilled with domain-driven, event-driven, and microservice architectures.
  • Proficient in building, tracking, and communicating plans within agile processes.
  • Capable of coaching/mentoring individuals and teams.
Work Environment

The work environment is a dynamic and collaborative office setting. The ideal candidate will be able to work effectively in a team environment and communicate complex technical ideas to both technical and non-technical stakeholders.

Travel Requirements

Minimal travel is required for this position (up to 20% of the time and on a domestic basis).


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