Full-Time Lead AI Engineer

  Position Overview

At Cast and Crew, we are revolutionizing the entertainment industry's back-office processes with reliable, AI-driven solutions. Our goal is to harness the power of machine learning to deliver personalized, real-time customer experiences. You will be at the forefront of integrating transformative AI technologies, helping us reshape how we support our clients and business partners. Together, we are redefining the future of entertainment services with products and solutions that our users trust and love.

A Lead AI Engineer will play a crucial role in turning vast amounts of complex data into valuable insights that will drive business decisions and innovation. A background in financial systems is a plus, as is development experience in an iterative, Agile/SCRUM environment.

Responsibilities and Essential Skills

• Engage proactively with diverse teams, including engineers, product managers, and stakeholders, to design and implement AI-driven solutions that significantly enhance both internal operations and customer experiences.
• Lead the design, development, and maintenance of advanced AI components, such as ML models, ensuring rigorous model evaluation, experimentation, and governance protocols are in place.
• Demonstrate extensive expertise in a wide array of AI technologies and tools, including AWS AI Services, VectorDBs, and frameworks such as PyTorch and TensorFlow, to architect robust and scalable solutions.
• Demonstrate proficiency in developing and deploying generative AI models (e.g., text, image) and features
• Research and implement cutting-edge optimization methodologies to boost the performance, scalability, and reliability of AI systems, focusing on achieving exceptional results in real-world applications.
• Play a pivotal role in shaping the technical vision and long-term strategy for foundational AI systems, aligning with business objectives at Cast and Crew to drive innovation and excellence.
• Exhibit a strong commitment to building high-quality, reliable systems while tackling impactful problems that enhance organizational efficiency and customer satisfaction.
• Stay abreast of the latest advancements in AI research and effectively translate complex scientific publications into practical applications within production environments.
• Thrive in ambiguous situations, demonstrating an ability to ask insightful questions and conduct thorough analyses to uncover and address core issues, facilitating effective solutions.
• Possess a solid foundation in engineering principles, mathematics, software development, and artificial intelligence, with a keen ability to identify optimization opportunities across systems.
• Demonstrate the courage to propose innovative ideas and explore uncharted territories to achieve business objectives, even in uncertain or challenging circumstances.
• Analyze large, complex datasets to identify patterns, trends, and insights that can be used to enhance business strategies and decision-making processes
• Design and implement statistical models, machine learning algorithms, feature engineering, and data mining techniques to develop predictive models and extract actionable insights from data
• Other duties as assigned.

Qualifications

• Excellent communication and teamwork skills
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related discipline, emphasizing a strong theoretical and practical foundation.
• Minimum of 4 years of hands-on experience in deploying scalable and responsible AI solutions across cloud platforms (e.g., AWS, Google Cloud, Azure), with a proven track record of successful project delivery.
• Proficient in designing, developing, delivering, and supporting AI services, ensuring they align with industry best practices and organizational goals.
• Demonstrated experience in creating and fine-tuning generative AI models using frameworks like TensorFlow or PyTorch, along with a strong understanding of techniques such as prompt engineering and model conditioning.
• Experience in developing AI and machine learning algorithms using programming languages such as Python, Java, or Golang, focusing on efficiency and effectiveness.
• Demonstrated experience in leveraging state-of-the-art techniques to optimize training and inference software, enhancing latency, throughput, and cost-efficiency in AI operations.
• A strong passion for staying informed about the latest trends, research, and advancements in AI, with a commitment to judiciously applying novel techniques in production environments to maintain a competitive edge.