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Are you interested in a compelling career that offers continuous learning and innovation working with talented engineers and professionals?Blue.cloud is a rapidly growing specialist in cloud-native data analytics (“Data Cloud”) implementation and consulting services with talented team with deep Digital Cloud expertise. Blue.cloud has partnerships with leading cloud providers like Microsoft Azure, Snowflake, Thoughtspot, Data Robot, etc.
Role: Lead MLOps EngineerLocation: Denver, COKey Skills : MLOps framework and tools, AWS architecture pipelines, DevOps/MLOps expertise, AWS Machine Learning, API Gateway, Lambda, CloudWatch, CloudTrail, CodeCommit, EC2, ECS, S3, SQS, SNS, Docker and Kubernetes, CI/CD, Python/R, SQL, API, Data Science, Data Analytics, Data Engineering, Machine Learning.- Lead the definition and implementation of AWS architecture, pipelines & MLOps framework and tools
- Work with Data Science, Data Analytics, Client, Data Engineering, Business teams as well as with Customers to define product roadmap
- Build organizational DevOps/MLOps expertise ensuring continuous learning, knowledge of best practices, and application
- Develop, Implement and Manage MLOps in cloud infrastructure for data preparation, deployment, monitoring and retraining models.
- Develop pipelines and engineering infrastructure to support enterprise machine learning systems at scale.
- Hands-on experience building the end-to-end design, development, and deployment of predictive modelling solutions.
- Identifying and monitoring data drift, concept drift, model performance etc.
- AWS Machine Learning platform knowledge - Studio, Canvas, Notebook Instance, Model Artefacts, Data Wrangler, Feature Store, Real-Time Inference etc.
- Experience in API Gateway, Lambda, CloudWatch, CloudTrail, Event Triggers, CodeCommit, EC2, ECS, S3, SQS, SNS, Amazon Kinesis, AWS Direct Connect etc.
- Design and build application containerization and orchestrate with Docker and Kubernetes.
- Experience in building CI/CD pipelines to convert python models into a deployable API/RESTful endpoint.
- Strong experience in Python/R, SQL.
- Experience in Regression & Classification Modelling, NLP, Time Series Forecasting.
- Hands on work experience in DevOps
- Strong written and oral communication skills
- Great team player that collaborates with diverse colleagues from different disciplines and backgrounds.
- BE/BTech/MTech (Specialization/courses in Client/DS).
- Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.