AI Engineer
Ai Ml
Artificial Intelligence
Big Data
Bigdata
Cloud Operations
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
Deep Learning
Engineer
ETL
Etl Pipeline
Hadoop
Informatica
Machine Learning
Machine Learning Engineer
NLP
SQL
TensorFlow
Job Description
Build and deploy advanced AI while working in a hybrid setup in Rocklin, CA. This AI Engineer role at Chase Robotics and Ai focuses on designing, building, and putting machine learning into production, from scalable data systems to robust cloud deployments.
What you’ll do
- Develop, train, and evaluate machine learning models using frameworks such as TensorFlow, with an emphasis on accuracy and efficiency across diverse applications.
- Design and implement scalable big data systems using tools including Hadoop and Spark, along with ETL processes for managing large datasets effectively.
- Apply statistical modeling and analysis with R, SAS, and statistical analysis software to derive meaningful insights from complex data.
- Integrate AI models into production environments using model deployment strategies that support robustness and scalability across cloud platforms such as AWS.
- Collaborate with cross-functional teams to build NLP applications and generative AI solutions aimed at improving user engagement.
- Run model training sessions for predictive modeling, including model evaluation and continuous improvement cycles.
- Use SQL databases, data mining techniques, and database design principles to optimize data storage and retrieval for analytics use cases.
What you bring
- Proven experience in machine learning/AI-based analysis, including strong understanding of AI implementation in real-world scenarios.
- Hands-on expertise with machine learning frameworks such as TensorFlow and Spark MLlib (or similar tools).
- Familiarity with big data systems and the Hadoop ecosystem, including HDFS and MapReduce, plus Spark for large-scale data processing.
- Programming experience in Python, Java, C, VBA, and Bash (Unix shell), with additional knowledge of SQL for database management.
- Experience with cloud-based machine learning services on AWS (or similar providers) is highly desirable.
- Knowledge of NLP, predictive modeling analysis, statistical analysis tools, and model evaluation techniques.
- Understanding of data analytics workflows, including data mining, data integration with Talend, visualization with Looker, and considerations for data scalability.
Compensation: USD 200,000 per year.
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