Senior Production Technician - Thermoplastics & Spraying

TechDigital Group; Alameda (CA); On-site; USD 50,000 - 60,000; Full time

Job summary

An established industry player is seeking a Senior Production Technician to enhance manufacturing operations. This role focuses on thermoplastics, foam coating, and spraying, ensuring precision and efficiency in production processes. You will be responsible for operating equipment, optimizing plant performance, and troubleshooting deviations. Ideal candidates will possess a strong attention to detail, a high school diploma, and experience in relevant technologies. Join a dynamic team dedicated to safety and quality, and contribute to the creation of top-tier products in a supportive environment.

Qualifications

• High School Diploma or equivalent required, with preferred technical certifications.
• Experience in manufacturing or military environment is highly preferred.

Responsibilities

• Operate equipment safely and monitor process conditions for optimal performance.
• Collect and report on performance metrics related to production and quality.

Skills

Spraying technology

Blending technology

Attention to detail

Basic math skills

Education

High School Diploma/GED

Associate degree or higher

Tools

Microsoft Word

Microsoft Excel

Job description

Mandatory Skills- Python, AI/ML
Retail domain experience is highly preferable.

JD:
We are seeking an experienced AI Data Engineer (15+ Years) to design, develop, and manage scalable data platforms that enable advanced analytics, Machine Learning (ML), and Generative AI solutions. The ideal candidate will build robust data pipelines, ensure data quality, and integrate AI/ML capabilities into enterprise data ecosystems.
Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Build and optimize data lakes, data warehouses, and AI-ready data platforms.
• Develop ingestion, transformation, and orchestration frameworks using cloud-native technologies.
• Prepare, cleanse, and engineer datasets for AI/ML and Generative AI workloads.
• Integrate Large Language Models (LLMs), vector databases, embeddings, and RAG (Retrieval-Augmented Generation) pipelines into enterprise solutions.
• Implement data governance, security, lineage, and quality controls.
• Collaborate with Data Scientists, AI Engineers, Business Analysts, and Solution Architects.
• Monitor, troubleshoot, and optimize data pipelines and platform performance.
• Automate deployment, testing, and monitoring of data engineering workflows.
• Create technical documentation and data dictionaries for enterprise data assets.

Required Skills
Technical Skills

• Python, SQL, PySpark
• ETL/ELT development
• Data Modeling (Star Schema, Snowflake Schema)
• Apache Spark, Databricks
• Airflow, Dataflow, Informatica, ADF, Synapse, or equivalent tools
• Relational & NoSQL Databases
• Data Warehousing concepts
• REST APIs and Microservices
• Git, CI/CD, DevOps practices

AI & GenAI Skills

• Machine Learning fundamentals
• Data preparation for AI models
• Vector Databases (Pinecone, ChromaDB, FAISS)
• LLM Integration (OpenAI, Azure OpenAI, Gemini, Claude, etc.)
• RAG Architecture
• Embeddings and Semantic Search
• Prompt Engineering fundamentals