ML Platform Engineer

Job Title Senior Data + AI/ML Engineer Location: Walnut Creek, CA (Hybrid 2/3 days per week onsite) Candidates MUST be local to Bay area. Duration: 6+ Months

Job Description: Architected and led end-to-end data and AI platforms, spanning data ingestion, processing, model training etc. Strong experience with Python and ML frameworks such as TensorFlow, PyTorch, scikit-learn etc. Solid understanding of supervised and unsupervised learning including classification, clustering, and predictive modeling techniques. Expert level experience with AWS, including designing, deploying and managing production grade AI/ML solutions using service such as S3, EC2, EKS/ECS, Lambda, RDS, IAM etc. Proven experience working designing and building large scale, complex datasets including data transformation, normalization and data quality management etc. Hands on experience deploying and operating ML workloads in AWS GovCloud with strong knowledge of security, compliance, and government cloud constraints. Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including document generation, vector and LLM integration. Experience integrating LLMs with structured and unstructured data to generate accurate, explainable and context aware responses. Strong understanding of ML Ops and LLM Ops practices, including model / version management, prompt management, evaluation, monitoring and retraining. Experience building scalable batch and real time pipelines for data engineering, ML and generative AI workloads. Familiarity with data security, privacy and compliance requirements in regulated or public sector environments. Excellent communication and collaboration skills with the ability to work independently and drive technical initiatives.

For applications and inquiries, contact: hirings@openkyber.com