Associate AI Specialist

Rand Technology LLCIrvine, CA
1dHybrid

About The Position

POSITION SUMMARY The Associate AI Specialist supports the development, implementation, and optimization of artificial intelligence and machine learning solutions to enhance business operations, improve decision-making, and drive innovation. This role works collaboratively with cross-functional teams to identify AI opportunities, develop proof-of-concepts, and deploy AI-powered tools and applications that align with company objectives.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, or related field
  • Master's degree preferred or equivalent practical experience
  • 1-3 years of experience in AI, machine learning, data science, or related field
  • Hands-on experience developing and deploying AI/ML models
  • Experience with AI/ML projects in a business or academic setting
  • Portfolio or examples of AI projects demonstrating practical application
  • Internship or co-op experience in AI/ML considered
  • Proficiency in Python and/or R for AI/ML development
  • Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, Keras)
  • Knowledge of AI/ML algorithms and techniques (supervised/unsupervised learning, neural networks, NLP)
  • Familiarity with cloud AI platforms (Azure AI, AWS SageMaker, Google Cloud AI)
  • Understanding of data manipulation libraries (Pandas, NumPy)
  • Experience with SQL and database systems
  • Knowledge of version control systems (Git)
  • Familiarity with data visualization tools (Tableau, Power BI, Matplotlib)
  • Strong analytical and problem-solving skills
  • Excellent attention to detail and commitment to quality
  • Effective communication skills with technical and non-technical audiences
  • Ability to work independently and collaboratively
  • Quick learner with curiosity and passion for emerging technologies
  • Project management and organizational skills
  • Creative thinking and innovation mindset
  • Adaptability in fast-paced, evolving environment

Nice To Haves

  • Experience with generative AI technologies (GPT, LLMs, prompt engineering)
  • Knowledge of computer vision and image processing
  • Experience with AI model deployment and MLOps practices
  • Familiarity with Agile/Scrum methodologies
  • Understanding of AI ethics, bias, and responsible AI principles
  • Experience in technology, telecommunications, or distribution industry
  • Certifications in AI/ML (Microsoft AI, AWS ML, Google ML, etc.)
  • Experience with business intelligence and analytics platforms
  • Knowledge of robotic process automation (RPA) tools
  • Contributions to open-source AI projects or publications

Responsibilities

  • Assist in designing, developing, and implementing AI and machine learning models
  • Support the creation of proof-of-concepts and pilot projects for AI initiatives
  • Develop and maintain AI-powered applications and tools for business use cases
  • Optimize existing AI models for performance, accuracy, and efficiency
  • Document technical specifications, methodologies, and implementation processes
  • Collect, clean, and prepare datasets for AI model training and testing
  • Conduct exploratory data analysis to identify patterns and insights
  • Ensure data quality, integrity, and compliance with privacy regulations
  • Create and maintain data pipelines for AI applications
  • Work with databases, APIs, and data integration tools
  • Integrate AI solutions with existing business systems and workflows
  • Support deployment of AI models to production environments
  • Monitor AI system performance and implement improvements
  • Troubleshoot and resolve technical issues with AI applications
  • Collaborate with IT teams on infrastructure and security requirements
  • Partner with business stakeholders to understand requirements and pain points
  • Identify opportunities where AI can add value to business processes
  • Translate business needs into technical AI solutions
  • Present findings, recommendations, and project updates to leadership
  • Provide training and support to end-users on AI tools and applications
  • Stay current on AI/ML trends, technologies, and best practices
  • Research and evaluate emerging AI tools, platforms, and frameworks
  • Experiment with new AI techniques and methodologies
  • Contribute to the development of AI strategy and roadmap
  • Share knowledge and insights with team members
  • Develop intelligent automation solutions using AI technologies
  • Implement natural language processing (NLP) applications
  • Create chatbots, virtual assistants, or conversational AI tools
  • Automate repetitive tasks using machine learning and AI
  • Support process improvement initiatives with AI-driven insights
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service