Overall 10-12yrs and Minimum 5-7 years of hands-on experience developing GenAI/ML models and deploying them in a cloud environment.
Proficiency with Google Cloud Platform (GCP) and its AI/ML offerings (e.g., Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE).
Must have experience working with any agentic framework
Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes
Strong software engineering skills: Python (primary), experience with ML frameworks (TensorFlow, PyTorch, scikit-learn), and API development (REST/GraphQL).
Experience designing and deploying microservices architectures and containerized solutions (Docker, Kubernetes; preference for GKE).
Solid experience in MLOps: model versioning, experiments, automated training, feature stores, model registries, monitoring, and governance.
Data processing and analytics expertise: SQL, data pipelines, ETL/ELT concepts, data quality, and data visualization support.
Numbers & Facts
Location
Raritan, NJ
Skills
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Cloud Computingunmatched
Cloud Storageunmatched
Data Analysisunmatched
Data Managementunmatched
Data Processingunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Visualizationunmatched
Database Extract Transform and Load (ETL)unmatched
Dockerunmatched
Engineeringunmatched
GCP (Good Clinical Practices)unmatched
GraphQLunmatched
Information Retrievalunmatched
Microservicesunmatched
Python Programming/Scripting Languageunmatched
REST (Representational State Transfer)unmatched
SQL (Structured Query Language)unmatched
Software Engineeringunmatched
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