> Markdown version of [/jobs/ext/4674059-ai-ml-engineer-boston-ma-hartford-ct-princeton-nj-newark-nj-new-york-city-ny](https://www.wearedevelopers.com/jobs/ext/4674059-ai-ml-engineer-boston-ma-hartford-ct-princeton-nj-newark-nj-new-york-city-ny). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY. - **Company:** S. K. Service Corporation - **Location:** Boston, MA, United States - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Engineering, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Standard Sql, Google Cloud, Pytorch, Retrieval-Augmented Generation, Large Language Models, Generative AI, Git, Fastapi, Kubernetes, Machine Learning Operations, Docker - **Published:** November 11, 2026 - **Apply:** https://www.dice.com/job-detail/207e6bec-a046-4cc6-a10b-9e625b9df7f8 ## About the Role · Python · SQL · Google Cloud Platform · Vertex AI · BigQuery · Machine Learning · TensorFlow · PyTorch · Generative AI · LLMs · RAG · Docker · Kubernetes · FastAPI · Git Preferred Skills · Vertex Pipelines · Kubeflow · MLflow · LangChain · Vector Databases · AI Monitoring Mandatory Skills · Python · Google Cloud Platform · Vertex AI · Machine Learning · TensorFlow · PyTorch · BigQuery · Kubernetes · FastAPI · Docker · Generative AI ## Description We are hiring an AI/ML Engineer with expertise in Google Cloud Platform (Google Cloud Platform) to develop enterprise AI solutions using Vertex AI, BigQuery ML, Generative AI, and cloud-native machine learning technologies., · Develop AI/ML applications using Vertex AI. · Build ML pipelines using Vertex Pipelines. · Train and deploy models using TensorFlow and PyTorch. · Implement Generative AI and RAG solutions. · Develop BigQuery ML applications. · Deploy scalable Kubernetes workloads. · Build AI APIs using FastAPI. · Implement model monitoring and AI observability.