Senior Data Pipeline & AI/ML Engineer

CornerStone TTS is looking for a part time engineer to own the end-to-end design, implementation, and maintenance of mixed-media data pipelines. You will collaborate closely with an AI/ML team and client stakeholders to ingest, process, and manage image, video, and tabular datasets ensuring production-ready systems that support both training and inference workloads.

Key Responsibilities

• Pipeline Architecture & Ownership
• Architect, build, and optimize ETL/ELT workflows to ingest .jpeg, .gif, .csv, and .mov assets.
• Ensure pipelines are modular, version-controlled, and easily maintainable.
• Storage & Database Management
• Design and administer NAS/local storage solutions: setup, access control, backup, and performance tuning.
• Deploy, tune, and maintain SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/Cassandra) databases for high-volume ingestion and querying.
• Media Processing & Transformation
• Leverage Python with Pandas and NumPy for tabular data transformations.
• Use OpenCV for image preprocessing (resizing, normalization, feature extraction).
• Utilize FFmpeg for video ingestion, transcoding, and key-frame extraction.
• Monitoring, Logging & Reliability
• Implement comprehensive logging, monitoring, and alerting for all pipelines.
• Proactively troubleshoot throughput or data-quality issues; optimize for reliability and scalability.
• Collaboration & Documentation
• Partner with ML engineers to integrate data pipelines into model training and serving workflows.
• Produce clear, reproducible documentation (Jupyter notebooks, Markdown guides, Confluence pages) covering architecture, pipeline usage, and troubleshooting.

Required Qualifications

• Experience: 5+ years in data engineering or similar roles, with a track record of owning production pipelines.
• Databases: Expert in SQL database design/tuning (PostgreSQL/MySQL) and at least one NoSQL system (MongoDB, Cassandra).
• Storage: Hands-on with NAS or equivalent local storage architectures and protocols.
• Media Handling: Deep expertise processing .jpeg, .gif, .csv, and .mov files at scale.
• Programming: Advanced Python scripting; proficient with Bash; comfortable on Ubuntu/Linux servers.
• Libraries/Tools: Pandas, NumPy, OpenCV, FFmpeg.
• Communication: Strong written and verbal skills; demonstrated ability to produce clear technical documentation.

Preferred Qualifications

• Familiarity with AI/ML frameworks (PyTorch, TensorFlow, open-source GPT/RAG toolkits).
• Experience in GPU-accelerated environments (NVIDIA stack).
• Proficiency with Git/GitHub workflows and CI/CD pipelines.
• Prior leadership or mentorship experience with junior engineers.
• Background in oil & gas or other regulated industries is a plus, but not required.

What You ll Gain

• Ownership & Impact: Lead the data foundation for cutting-edge AI imaging and chat products.
• Collaboration: Work side-by-side with leadership and AI/ML experts.
• Flexibility: Part-time schedule tailored for high productivity and work-life balance.
• Growth: Hands-on exposure to both data engineering and AI/ML integration in a production setting.