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AI Specialist

LinkedIn Tri Star Sports & Entertainment West Hollywood, CA
Mid-Senior level Posted April 5, 2026 2 variants Job link
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Requirements
  • 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 Qualifications:
  • Ability to reliably commute and report to the Tri Star office.
  • 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).
  • Tri Star Core Values PERFORMANCE: We provide clients with excellent reporting and service HONEST & INTEGRITY: We are transparent and accountable, always being truthful to staff and clients TEAMWORK: We actively participate in group discussions, tasks, and projects COMMITMENT: We are dedicated to our roles within Tri Star, the core values of the firm and the clients TECHNOLOGY: We seek to capitalize on innovative technologies and contribute to positive change in the firm
Preferred Skills
  • Relevant certification in AI or machine learning (AWS Certified Machine Learning, Google AI Certification).
  • Familiarity with big data technologies and tools (e.g., Hadoop, Spark).
Education
  • (Not required) – Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • (Not required) – Relevant certification in AI or machine learning (AWS Certified Machine Learning, Google AI Certification).