Associate AI Specialist

Talantir; Irvine (CA); Hybrid; USD 90,000 - 135,000; Full time

Job summary

Rand Technology, LLC is seeking an Associate AI Specialist to help design, implement, and optimize AI/ML solutions that drive business value. You will work with cross‑functional teams to identify AI opportunities, build proofs of concept, and deploy AI-powered tools across business units.

Responsibilities include data preparation, model development, integration with existing systems, and ongoing monitoring to ensure performance.

Qualifications

• Bachelor's or higher in CS/DS/AI or related field; Master's preferred.
• 1–3 years of AI/ML experience with hands-on model work.
• Portfolio or projects showing practical AI applications.
• Internship or co-op in AI/ML is considered.

Responsibilities

• Develop and deploy AI/ML models and apps.
• Create proof-of-concepts and pilots for AI initiatives.
• Optimize models for performance and accuracy.
• Collaborate with IT and business teams on deployment.
• Document methodologies and implementation steps.
• Stay updated on AI trends and best practices.

Skills

Python

R

TensorFlow

PyTorch

scikit-learn

Keras

Azure AI

AWS SageMaker

Google Cloud AI

Pandas

NumPy

SQL

Git

Tableau

Power BI

Matplotlib

Education

BSc in CS/Data Science/AI or related field

MSc or equivalent practical experience

Tools

TensorFlow

PyTorch

scikit-learn

Keras

Azure AI

AWS SageMaker

Google Cloud AI

Pandas

NumPy

SQL

Git

Tableau

Power BI

Matplotlib

Job description

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 modelsSupport the creation of proof-of-concepts and pilot projects for AI initiativesDevelop and maintain AI-powered applications and tools for business use casesOptimize existing AI models for performance, accuracy, and efficiencyDocument technical specifications, methodologies, and implementation processes

Data Analysis & Preparation

Collect, clean, and prepare datasets for AI model training and testingConduct exploratory data analysis to identify patterns and insightsEnsure data quality, integrity, and compliance with privacy regulationsCreate and maintain data pipelines for AI applicationsWork with databases, APIs, and data integration tools

AI Integration & Deployment

Integrate AI solutions with existing business systems and workflowsSupport deployment of AI models to production environmentsMonitor AI system performance and implement improvementsTroubleshoot and resolve technical issues with AI applicationsCollaborate with IT teams on infrastructure and security requirements

Business Collaboration

Partner with business stakeholders to understand requirements and pain pointsIdentify opportunities where AI can add value to business processesTranslate business needs into technical AI solutionsPresent findings, recommendations, and project updates to leadershipProvide training and support to end-users on AI tools and applications

Research & Innovation

Stay current on AI/ML trends, technologies, and best practicesResearch and evaluate emerging AI tools, platforms, and frameworksExperiment with new AI techniques and methodologiesContribute to the development of AI strategy and roadmapShare knowledge and insights with team members

Process Automation

Develop intelligent automation solutions using AI technologiesImplement natural language processing (NLP) applicationsCreate chatbots, virtual assistants, or conversational AI toolsAutomate 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 fieldMaster's degree preferred or equivalent practical experience

Experience

1-3 years of experience in AI, machine learning, data science, or related fieldHands-on experience developing and deploying AI/ML modelsExperience with AI/ML projects in a business or academic settingPortfolio or examples of AI projects demonstrating practical applicationInternship or co-op experience in AI/ML considered

Technical Skills

Proficiency in Python and/or R for AI/ML developmentExperience 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 systemsKnowledge of version control systems (Git)Familiarity with data visualization tools (Tableau, Power BI, Matplotlib)

Core Competencies

Strong analytical and problem-solving skillsExcellent attention to detail and commitment to qualityEffective communication skills with technical and non-technical audiencesAbility to work independently and collaborativelyQuick learner with curiosity and passion for emerging technologiesProject management and organizational skillsCreative thinking and innovation mindsetAdaptability in fast-paced, evolving environment

Preferred Qualifications

Experience with generative AI technologies (GPT, LLMs, prompt engineering)

Knowledge of computer vision and image processingExperience with AI model deployment and MLOps practicesFamiliarity with Agile/Scrum methodologiesUnderstanding of AI ethics, bias, and responsible AI principlesExperience in technology, telecommunications, or distribution industryCertifications in AI/ML (Microsoft AI, AWS ML, Google ML, etc.)Experience with business intelligence and analytics platformsKnowledge of robotic process automation (RPA) toolsContributions 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 tasksAbility to use standard office equipment and technologyMay require occasional collaboration in conference rooms or team spacesMinimal travel required (less than 10%)Ability to work standard business hours with flexibility as needed

Work Environment

Professional office settingHybrid or remote work options may be availableCollaborative team environment with cross-functional interactionFast-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.