Associate AI Specialist

Description
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.
Key Responsibilities
AI Solution Development

• 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
  

Data Analysis & Preparation

• 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
  

AI Integration & Deployment

• 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
  

Business Collaboration

• 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
  

Research & Innovation

• 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
  

Process Automation

• 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
  

Required Qualifications
Education

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, or related field
• Master's degree preferred or equivalent practical experience
  

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
  

Technical Skills

• 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)
  

Core Competencies

• 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
  

Preferred Qualifications

• 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
  

KEY PERFORMANCE INDICATORS

• Successful development and deployment of AI solutions
• Model accuracy and performance metrics
• Impact on business process efficiency and outcomes
• Stakeholder satisfaction with AI implementations
• Innovation and contribution to AI strategy
• Quality and documentation of technical work
  

Physical Requirements

• Primarily sedentary office work with computer-based tasks
• Ability to use standard office equipment and technology
• May require occasional collaboration in conference rooms or team spaces
• Minimal travel required (less than 10%)
• Ability to work standard business hours with flexibility as needed
  

Work Environment

• Professional office setting
• Hybrid or remote work options may be available
• Collaborative team environment with cross-functional interaction
• Fast-paced technology-driven workplace
  

EQUAL OPPORTUNITY EMPLOYER
Rand Technology, LLC is an equal opportunity employer and values diversity in the workplace. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.