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Title: Cloud AI Engineer
Hiring Organization: Connexion Systems & Engineering
Our client is seeking: Cloud AI Engineer
Compensation, Benefits, and Employment Type
- Duration – Contract – 3 months+
- Pay rate: 50-54/hr.
- Job Location: Cambridge, MA 02138
- Job# bh11936
We're a highly collaborative, passionate, and creative group of data and analytics professionals driving transformation in data driven decision making. We take pride in delivering our work with both urgency and excellence. We strive to drive actionable insights that have a true impact on the business.
- You will be part of a thought leading innovative team driving scalability and new insights. Be part of a highly collaborative and energetic team working alongside the Go To Market and Sales operations organization driving better insights through Data, Data Quality and AI. You will have opportunity to learn and work implementing core data engineering tools to open source and cloud technologies.
- What You'll Do:
- You will support standing up of infrastructures in support of AI and ML Engineering You are proficient with modern cloud architecture and building infrastructure on Microsoft Azure, Docker and Kubernetes platforms.
- You are familiar with Jupyter, Power BI ML Services and Azure Data science services to deliver operationally efficient ML models in a multi-cloud environment You are proficient with Terraform, Ansible, Azure blue prints, PowerShell scripts, Azure CLI and Unix shell scripting in support of infrastructure development You have work experience in configuring Azure Services preferably ML services Familiar with Model orchestration leveraging container services and, monitoring and evaluating container performances Experience with DevOps tools & github, Jenkins, Azure pipelines Broad understanding/ experience in big data technologies like Hadoop/Hive/ Spark Broad understanding/ experience in feature engineering and developing ML models on premise/on cloud/on containers.
- Broad understanding/ experience in Rest API and Infrastructure/ services to support that.
- Skills: Who You Are:
- Proficient in scripting languages like Power Shell, Linux Shell, SQL, Json, Typescript, Python, Azure infrastructure templates Experience in Azure ML services using Jupyter, Data Science tool kits as in Scikit, Pytorch and python frameworks.
- Experience in model lifecycle & build, train and deploy multiple experiments at scale performing batch predictions.
- You are familiar or invested in learning open source distributed data engineering tools such as Pytorch, Airflow, Spark and dbt.
- Preferred but not essential to have & familiarity with Power BI, DAX, Reporting, Azure Data Flows.
- Bachelors or master's degree(s) in Computer Science, Data Science, Operations Research, Math, Statistics or Economics with 5 to 6 experience in development.
- Capacity to work in teams as well as alone
- What You've Accomplished:
- You've built and implemented BI Analytics / Machine learning models for Go to Market strategy and operations and/or Enterprise-level business functions.
- You've been exposed to a variety of technologies mentioned above You've demonstrated knowledge of and applicability of functional programming, techniques and principles.
- You've delivered solutions in Agile and Scrum methodologies.
- Keywords:
- Education:
- Bachelors or master's degree(s) in Computer Science, Data Science, Operations Research, Math, Statistics or Economics with 5 to 6 experience in development.
-
- Skills and Experience:
- Required Skills:
- DEVOPS
- ENGINEER
- JENKINS
- API
- ARCHITECTURE
- Additional Skills:
- BI
- BUSINESS INTELLIGENCE
- DATA QUALITY
- DATA SCIENCE
- DEV OPS
- DOCKER
- HADOOP
- HIVE
- JAVASCRIPT
- JSON
- LINUX
- MACHINE LEARNING
- OPEN SOURCE
- OPERATIONS
- PEGA
- POWER BI
- PYTHON
- REST
- SALES OPERATIONS
- SCRIPTING
- SELF MOTIVATED
- SHELL SCRIPTING
- SQL
- STATISTICS
- TYPESCRIPT
- UNIX
- UNIX SHELL
Please use the apply button to submit your resume for consideration. A Connexion Representative will contact you immediately.
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