Chase Robotics and Ai is hiring an AI Engineer based in Rocklin, CA for a hybrid setup. In this role, you will design, build, and deploy advanced AI models and machine learning frameworks, with a focus on scalable data systems and production-ready integration across cloud environments.
The work blends model development with large-scale data engineering, statistical analysis, and collaboration on applications such as natural language processing and generative AI solutions.
Responsibilities
- Develop, train, and evaluate machine learning models using frameworks such as TensorFlow to support accurate and efficient outcomes for diverse applications.
- Design and implement scalable big data systems with tools such as Hadoop, Spark, and ETL processes to handle large datasets effectively.
- Use statistical modeling and analysis methods with R, SAS, and statistical analysis software to derive meaningful insights from complex data.
- Integrate AI models into production by applying deployment strategies that prioritize robustness and scalability across AWS cloud platforms.
- Collaborate with cross-functional teams to build NLP applications and generative AI solutions aimed at improving user engagement.
- Run model training cycles focused on predictive modeling analysis, model evaluation, and continuous improvement.
- Use SQL databases, data mining techniques, and database design principles to improve data storage and retrieval for analytics.
Requirements
- Proven experience in machine learning and AI-driven analysis, including a strong understanding of AI implementation in real-world scenarios.
- Hands-on experience with machine learning frameworks such as TensorFlow, Spark MLlib, or similar tools.
- Familiarity with big data systems, including components in the Hadoop ecosystem such as HDFS and MapReduce, along with Spark for large-scale processing.
- Programming experience in Python, Java, C, VBA, and Bash (Unix shell), plus 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 analytics workflows involving data mining, data integration via Talend, visualization using Looker, and considerations for data scalability.
Salary: USD 200,000 per year.
Technologies: TensorFlow, Hadoop, Spark, ETL, R, SAS, statistical analysis software, AWS, NLP, SQL, data mining techniques, database design principles, Spark MLlib, HDFS, MapReduce, Python, Java, C, VBA, Bash (Unix shell), Talend, Looker
