Technical AI Engineer (Entry-level, on-site, Oxnard)
SCOSCHE INDUSTRIES INC•Oxnard, CA
just now•$43 - $50•Onsite
About The Position
We are seeking a motivated Entry-Level Technical AI Engineer with foundational experience in data lakes and analytics to support the development of AI-driven solutions. This role is ideal for a recent graduate or early-career professional eager to grow skills in machine learning, data engineering, and large-scale data platforms while working alongside experienced engineers and data scientists. The successful candidate will assist in building data pipelines, preparing data for AI models, and supporting the deployment and monitoring of AI solutions.
Requirements
- 0–2 years of experience through internships, academic projects, or entry-level roles
- Foundational knowledge of data lakes or large-scale data storage concepts
- Proficiency in Python; working knowledge of SQL
- Basic understanding of machine learning concepts and data preprocessing
- Familiarity with cloud platforms (AWS, Azure, or GCP) at a beginner level
- Understanding of data structures, algorithms, and basic software engineering principles
- Strong curiosity, attention to detail, and willingness to learn
Nice To Haves
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field
- Hands-on experience with data lake technologies (e.g., AWS S3, Azure Data Lake, Google Cloud Storage)
- Exposure to big data or analytics tools (e.g., Spark, Databricks)
- Experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch
- Familiarity with ETL/ELT tools or workflow orchestration
- Coursework or projects involving AI, machine learning, or data engineering
Responsibilities
- Assist in the design, development, and maintenance of data lake environments to support analytics and AI use cases
- Support data ingestion, transformation, and validation processes from multiple data sources
- Help develop, test, and optimize machine learning models under guidance from senior team members
- Write and maintain clean, well-documented code in Python and SQL
- Participate in data quality checks, monitoring, and troubleshooting
- Assist with model evaluation, retraining, and performance tracking
- Collaborate with cross-functional teams to understand business and technical requirements
- Document data flows, model logic, and technical processes
- Stay current with emerging AI, data engineering, and cloud technologies
Benefits
- Medical, dental, and vision benefits
- 401(k) plan eligibility
- Paid time off and holidays
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
51-100 employees
