More jobs:
ML/Ops Engineering
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-06-02
Listing for:
Compunnel
Full Time
position Listed on 2026-06-02
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Job Summary:
We are seeking a Lead MLOps Engineer to own the infrastructure and operationalization of machine learning and generative AI systems s role focuses on building reliable pipelines for training, evaluation, deployment, and monitoring of models in production environments, ensuring scalability, performance, and efficiency.
Key Responsibilities:
- Design end-to-end ML and LLMOps pipelines for model training, deployment, and lifecycle management, including fine-tuning and RAG architectures
- Build and manage scalable services using Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure
- Develop and maintain CI/CD pipelines for machine learning workflows using tools such as Git Hub Actions and Jenkins
- Implement monitoring and observability for model performance, latency, drift, and cost using tools like Prometheus and Grafana
- Integrate machine learning workflows with data platforms such as Spark, Kafka, Airflow, and feature stores
- Optimize compute and GPU usage for large-scale model training and inference
- 8+ years of experience in software engineering or machine learning engineering with production systems
- Strong proficiency in Python and experience building scalable APIs and services
- Experience with machine learning platforms such as MLflow, Sage Maker, or Vertex AI
- Deep understanding of distributed systems and data pipelines
- Hands-on experience with large language models, embeddings, and vector databases
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