Artificial Intelligence and Machine Learning

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., * 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

Do you have a valid AWS Certified Machine Learning - Specialty certification?, Do you have experience in SQL?, Do you have a Bachelor’s degree?, * 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

$100,000.48 - $110,000.62 a year - Temporary, Part-time, Full-time, Contract, Pulled from the full job description

• Parental leave
• 401(k)
• 401(k) matching
• Paid time off
• Employee discount
• Vision insurance

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