Senior AI/ML Engineer: Generative AI & Production-Ready

Robotics Technologies LLC; San Diego (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Robotics Technologies LLC in San Diego is seeking an AI/ML Engineer to develop, implement, and deploy advanced ML solutions. You will work with large datasets, build predictive models, and optimize algorithms for production use.

The candidate will have strong Python skills, experience with ML frameworks, and knowledge of cloud platforms, MLOps, and vector databases. Collaboration with data engineers and software teams is essential.

Qualifications

• 6+ years in AI/ML/Data Science or related roles.
• 4+ years building ML models with Python.
• Strong background in ML algorithms, statistics, and model evaluation.
• Experience deploying production AI/ML solutions.
• Experience with cloud ML environments.
• Knowledge of Generative AI, LLMs, and RAG preferred.
• Excellent analytical and cross‑functional collaboration skills.

Responsibilities

• Design, develop, train and deploy ML models for business applications.
• Analyze structured and unstructured data to extract insights.
• Build predictive and classification models using appropriate algorithms.
• Preprocess data, engineer features, and optimize models.
• Develop deep learning, NLP and Generative AI solutions as needed.
• Implement LLM-based apps with prompt engineering and RAG pipelines.
• Deploy AI/ML models into production and monitor performance.

Skills

Python

Machine learning

Scikit-learn

TensorFlow

PyTorch

Keras

NLP

Computer vision

Pandas

NumPy

SciPy

Matplotlib

Generative AI

LLMs

RAG

Vector databases

MLOps

REST APIs

Docker

Kubernetes

Git

CI/CD

AWS SageMaker

Azure ML

Vertex AI

Education

Bachelor's degree in CS/AI/DS/Math

Master's degree or PhD in AI/ML/DS

AWS/GCP/Azure AI certifications

Tools

Docker

Kubernetes

Git

MLflow

Kubeflow

SageMaker

Vertex AI

FAISS

Pinecone

ChromaDB

Weaviate

Job description

Robotics Technologies LLC in San Diego is seeking an AI/ML Engineer to develop, implement, and deploy advanced ML solutions. You will work with large datasets, build predictive models, and optimize algorithms for production use.

The candidate will have strong Python skills, experience with ML frameworks, and knowledge of cloud platforms, MLOps, and vector databases. Collaboration with data engineers and software teams is essential.