Artificial Intelligence and Machine Learning

ABOUT THE ROLE

We are looking for a driven and curious AI & Machine Learning Specialist to join our growing technology team in San Jose, CA. In this role, you will work on real-world AI solutions — from building and deploying machine learning models to processing large-scale data using modern cloud and big data platforms. If you are passionate about using technology to solve complex business challenges and are eager to grow your skills in a fast-paced, collaborative environment, we want to hear from you.

KEY RESPONSIBILITIES

▸ TensorFlow, Spark MLlib, Design, develop, and optimize machine learning models using frameworks such as

▸ and SAS to tackle real-world business challenges.

▸ data mining, pattern recognition, and anomaly detection Apply unsupervised learning techniques for

▸ ETL data pipelines Build and maintain

▸ using tools like Talend, Bash scripts, or SAS to ensure clean, reliable data for model training.

▸ deploy AI/ML models to production Collaborate with cross-functional teams to

▸ environments using AWS or other cloud platforms.

▸ Natural Language Processing (NLP) Work on

▸ tasks including text analysis, chatbot development, and voice recognition systems.

▸ SQL database schemas and queries Design and optimize

▸ for scalable AI applications using Hadoop, Spark, or similar big data environments.

▸ quantum computing applications and linked data integration.Stay current with emerging AI trends including

▸ Contribute to code reviews, documentation, and team knowledge sharing.

REQUIRED QUALIFICATIONS

▸ TensorFlow, R, or SAS.1–3 years of hands-on experience developing ML models using

▸ Python (primary), along with exposure to Java, C, or VBA.Strong programming skills in

▸ AWS (SageMaker, S3, EC2, Lambda, or similar services).Practical experience with cloud platforms such as

▸ Hadoop, Apache Spark, and analytics/visualization tools like Looker.Working knowledge of big data tools:

▸ SQL queries and designing database schemas Experience writing and optimizing

▸ for AI use cases.

▸ NLP techniques Understanding of

▸ and their application in production systems.

▸ data pipeline tools (Talend, Bash scripting) Experience with

▸ and data workflow automation.

▸ Computer Science, Data Science, Statistics, Bachelor's or Master's degree in

▸ or a closely related field.

PREFERRED QUALIFICATIONS

▸ quantum computing concepts Exposure to

▸ or linked/semantic data technologies.

▸ MLOps practices — model versioning, monitoring, and CI/CD pipelines.Familiarity with

▸ containerization tools (Docker, Kubernetes) Knowledge of

▸ for deploying ML services.

▸ open-source AI/ML projects or Kaggle competitions.Experience contributing to

▸ cloud certification.AWS Certified Machine Learning, Google Professional ML, or similar

TECHNOLOGIES & TOOLS

You will work with some or all of the following:

ML & AI

TensorFlow PyTorch Scikit-learn Spark MLlib SAS R

Cloud & Big Data

AWS Hadoop Apache Spark Looker Hive

Programming & Data

Python Java SQL Bash Talend VBA

WHAT WE OFFER

▸ Competitive salary and performance-based bonuses.

▸ Comprehensive health, dental, and vision insurance.

▸ 401(k) plan with company match.

▸ Generous PTO, paid holidays, and flexible work arrangements (hybrid options available).

▸ Annual learning & development budget — conferences, certifications, and online courses.

▸ Collaborative, innovation-driven culture with exposure to cutting-edge AI research.

▸ Opportunity to grow into senior AI/ML engineering or research roles.

HOW TO APPLY

Ready to shape the future with AI? Submit your application on Indeed with the following:

▸ Updated resume highlighting your AI/ML projects and relevant experience.

▸ Brief cover letter (optional but encouraged) describing your interest in this role.

▸ Links to GitHub, Kaggle profile, or any relevant project portfolio (if available).

Pay: $100,000.48 - $110,000.62 per year

Benefits:

• 401(k)
• Dental insurance
• Employee assistance program
• Employee discount
• Flexible spending account
• Life insurance
• Paid time off
• Parental leave
• Relocation assistance

Work Location: In person