Machine Leaning Cloud Engineer
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Immediate need for a talented Machine Leaning Cloud Engineer. This is a 07+months contract opportunity with long-term potential and is located in Jersey City, NJ/Boston, MA/Westlake, TX(Onsite). Please review the job description below and contact me ASAP if you are interested.
Job ID:24-45211
Pay Range: $60 - $70/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Requirements and Technology Experience:
- Key Skills: Sagemaker,SQL,Python .
- ML Cloud Engineer
- Python development (not scripting) experience
- Comfortable with SQL
- Experience with AWS cloud environment
- Sagemaker
- Has Bachelor s or Master s Degree in a technology related field (e.g. Engineering, Computer Science, etc.).
- Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).
- Experience in building cloud native applications using AWS services like S3, RDS, CFT, SNS, SQS, Step functions, Event Bridge, cloud watch etc.,
- Experience with building data pipelines in getting the data required to build, deploy and evaluate ML models, using tools like Apache Spark, AWS Glue or other distributed data processing frameworks.
- Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
- Strong knowledge of developing highly scalable distributed systems using Open-source technologies.
- 5+ years of proven experience in implementing Big data solutions in data analytics space.
- Experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker.
- Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
- Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
- Solid experience in Agile methodologies (Kanban and SCRUM).
- You have strong technical design and analysis skills.
- You the ability to deal with ambiguity and work in fast paced environment.
- Your experience supporting critical applications.
- You are familiar with applied data science methods, feature engineering and machine learning algorithms.
- Your Data wrangling experience with structured, semi-structure and unstructured data.
- Your experience building ML infrastructure, with an eye towards software engineering.
- You have excellent communication skills, both through written and verbal channels.
- You have excellent collaboration skills to work with multiple teams in the organization.
- Your ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem.
Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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