AI Specialist

Tri Star Sports and Entertainment Group,Inc9 months ago
Nashville, TN, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Tri Star Sports and Entertainment Group is a renowned business management firm serving high net-worth clients in the sports and entertainment industry. Tri Star provides comprehensive financial and advisory services including accounting, tax, tour management and wealth preservation strategy. We foster a culture of professionals who are committed to super serving our clients and their trusted advisors. Tri Star seeks to employ innovative methods to provide the highest level of accounting and business management services. We create a financial foundation and path to sustain growth and stability which allows our clients to focus on their fullest professional and personal goals.

As an AI specialist, you will develop and implement AI models and algorithms to address complex business challenges. You will design, implement, and optimize AI systems to solve existing problems and enhance business operations. The ideal candidate is a skilled and innovative professional passionate about artificial intelligence and machine learning with a proven track record in developing AI solutions and driving technological advancements.

Key Responsibilities:

  • Design, develop, and implement AI models and algorithms to address business challenges and improve processes.
  • Collaborate with cross-functional teams and stakeholders to understand obstacles, needs, and goals and translate them into AI solutions.
  • Optimize and fine-tune existing AI models to enhance their accuracy, efficiency, and performance.
  • Deploy AI solutions and ensure their integration with existing systems.
  • Monitor and evaluate the performance of AI systems, making adjustments as necessary to improve outcomes.
  • Provide technical expertise and guidance on AI-related projects and initiatives.
  • Analyze large datasets to extract meaningful insights and patterns that can inform AI model development.
  • Develop and implement machine learning algorithms, neural networks, and other AI techniques.
  • Train and validate AI models using diverse datasets to ensure robustness and generalizability.
  • Collaborate with IT and external resources to preprocess and clean data for AI models.
  • Create and maintain documentation for AI models, algorithms, and workflows.
  • Conduct experiments to test and compare the effectiveness of different AI approaches.
  • Troubleshoot and resolve issues related to AI systems.
  • Present findings and recommendations to stakeholders, including technical and non-technical audiences.
  • Research and stay updated on the latest AI and machine learning technology advancements.

Required Qualifications:

  • Strong understanding of artificial intelligence, machine learning algorithms, neural networks, and deep learning techniques.
  • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Excellent problem-solving and analytical skills, with the ability to work with complex datasets.
  • Proficiency in programming languages such as Python, R, or Java.
  • Strong knowledge of AI frameworks and libraries (TensorFlow, PyTorch, Peras, AWS, Azure).
  • Experience with natural language processing (NLP), computer vision, or reinforcement learning.
  • Understanding of data engineering and data warehousing concepts.
  • Ability and willingness to manage, lead, and drive results independently with all AI projects from concept to deployment.
  • Ability to reliably commute and report to the Tri Star office.
  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 5 years of experience as an AI Specialist, Data Scientist, Machine Learning Engineer, or similar role in AI development.
  • Relevant certification in AI or machine learning (AWS Certified Machine Learning, Google AI Certification).
  • Knowledge of cloud platforms for AI deployment (AWS, Azure, Google Cloud).
  • Familiarity with big data technologies and tools (e.g., Hadoop, Spark).

Required Skills

Neural Networks
Java
Computer Vision
PyTorch
Deep Learning
Data Engineering
Machine Learning
Reinforcement Learning
Natural Language Processing
Data Warehousing
Python
R
Artificial Intelligence
Azure
TensorFlow
AWS