AI/ML Engineer - Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY.
Why this role stands out
Advance your career by developing cutting-edge enterprise AI solutions and deploying production-ready ML applications, leveraging your expertise in Machine Learning, Data Science, and LLMs. This hybrid role offers a fantastic opportunity for growth within a reputable company, perfect for ambitious mid-senior level engineers eager to make a significant impact.
Quick overview
Job description
Job Title: Senior AI/ML Platform Engineer
Location: Boston, MA, Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY.
Contract: 12+ Months
Looking for W2 candidates. No C2C
Job Summary
We are seeking a Senior AI/ML Platform Engineer to build enterprise-scale Machine Learning platforms supporting model development, deployment, monitoring, and governance. The ideal candidate should have strong expertise in MLOps, LLMOps, cloud-native AI platforms, Feature Stores, and scalable ML infrastructure.
Key Responsibilities
· Design enterprise AI/ML platforms and reusable ML pipelines.
· Build scalable MLOps and LLMOps workflows.
· Develop model training and deployment pipelines.
· Implement Feature Stores and Model Registry.
· Build CI/CD pipelines for ML applications.
· Monitor model performance, drift, and data quality.
· Develop REST APIs for model serving.
· Deploy workloads on Azure, AWS, or Google Cloud Platform.
· Implement Responsible AI and model governance.
· Collaborate with Data Science and DevOps teams.
Required Skills
· Python
· SQL
· Machine Learning
· MLOps
· LLMOps
· MLflow
· Kubeflow
· Feature Store
· Model Registry
· Docker
· Kubernetes
· FastAPI
· REST APIs
· Git
· Azure / AWS / Google Cloud Platform
· CI/CD
Preferred Skills
· SageMaker
· Azure ML
· Vertex AI
· Ray
· Airflow
· Dataiku
Mandatory Skills
· Python
· Machine Learning
· MLOps
· LLMOps
· MLflow
· Kubeflow
· Feature Store
· Docker
· Kubernetes
· Azure/AWS/Google Cloud Platform
· FastAPI
· CI/CD
Best Regards:
Peerbhi SK
Phone:
Email:
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