SW5 Consulting Ltd
MLOps Engineer
SW5 Consulting Ltd - New York, New York, us, 10261
Work at SW5 Consulting Ltd
Overview
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Overview
Are you a Lead MLOps Engineer?
Why not join our team to lead the development of cutting-edge Generative AI solutions. You'll play a key role in implementing machine learning operations, ensuring seamless deployment, monitoring, and management of our models and data pipelines.
The Team:
Work closely with a world-class AI/ML team, including experts in modeling, engineering, data science, and data engineering. Contribute to our AI-driven transformation and drive value for our customers.
Responsibilities: Lead ML Engineering to build and deploy GenAI services and solutions. Work on large-scale distributed systems, including infrastructure, data platforms, databases, microservices, and orchestration services. Develop MLOps/LLMOps platforms and automated pipelines for model deployment, monitoring, and maintenance. Collaborate with cross-functional teams to integrate ML models into production systems. Create and manage documentation and best practices for MLOps/LLMOps processes. Work with technology teams to develop and implement an Enterprise AI platform. What We're Looking For:
Bachelor's degree in Computer Science, Engineering, or a related field. 8+ years of experience in machine learning, data analytics, or similar roles. 5+ years of experience with: Writing scalable code in Python (or Scala) MLOps/LLMOps, machine learning engineering, Big Data Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow Containerization, Kubernetes, cloud platforms, CI/CD, workflow orchestration Distributed systems programming, AI/ML solutions architecture, microservices architecture Preferred Qualifications:
2-3 years of experience with data-driven pipelines for large-scale analytics solutions Experience with open-source initiatives, research projects, or Kaggle competitions 6-12 months of experience with RAG pipelines, prompt engineering, or Generative AI use cases Experience with SageMaker and/or Vertex AI
The position is hybrid and requires you to attend the New York or New Jersey offices. The position will pay up to $220k basic + benefits + 20% bonus for the right individual.
Why not join our team to lead the development of cutting-edge Generative AI solutions. You'll play a key role in implementing machine learning operations, ensuring seamless deployment, monitoring, and management of our models and data pipelines.
The Team:
Work closely with a world-class AI/ML team, including experts in modeling, engineering, data science, and data engineering. Contribute to our AI-driven transformation and drive value for our customers.
Responsibilities: Lead ML Engineering to build and deploy GenAI services and solutions. Work on large-scale distributed systems, including infrastructure, data platforms, databases, microservices, and orchestration services. Develop MLOps/LLMOps platforms and automated pipelines for model deployment, monitoring, and maintenance. Collaborate with cross-functional teams to integrate ML models into production systems. Create and manage documentation and best practices for MLOps/LLMOps processes. Work with technology teams to develop and implement an Enterprise AI platform. What We're Looking For:
Bachelor's degree in Computer Science, Engineering, or a related field. 8+ years of experience in machine learning, data analytics, or similar roles. 5+ years of experience with: Writing scalable code in Python (or Scala) MLOps/LLMOps, machine learning engineering, Big Data Elasticsearch, SQL, NoSQL, Apache Airflow, Apache Spark, Kafka, Databricks, MLflow Containerization, Kubernetes, cloud platforms, CI/CD, workflow orchestration Distributed systems programming, AI/ML solutions architecture, microservices architecture Preferred Qualifications:
2-3 years of experience with data-driven pipelines for large-scale analytics solutions Experience with open-source initiatives, research projects, or Kaggle competitions 6-12 months of experience with RAG pipelines, prompt engineering, or Generative AI use cases Experience with SageMaker and/or Vertex AI
The position is hybrid and requires you to attend the New York or New Jersey offices. The position will pay up to $220k basic + benefits + 20% bonus for the right individual.