Mission, a CDW Company
Engineer, Machine Learning
Mission, a CDW Company, California, Missouri, United States, 65018
Join to apply for the
Engineer, Machine Learning
role at
Mission, a CDW Company
Join to apply for the
Engineer, Machine Learning
role at
Mission, a CDW Company
Get AI-powered advice on this job and more exclusive features.
As a Engineer, Machine Learning you will work with our AI Solutions team to design, develop, build MLOps workflows and help deploy machine learning models to solve complex business problems. You will help our customers build modern data solutions on the AWS stack. This position is 100% remote with up to 25% travel required.
Responsibilities
Under the supervision of Big Data Consultants and Architects, work with multiple clients simultaneously to implement enterprise-wide scalable operations on AWS
Deploy and monitor machine learning models on AWS using tools such as SageMaker
Implement machine learning pipelines including data cleaning, training, evaluation and deployment
Develop models from customer data to meet customer goals
Write infrastructure as code scripts in CDK or Terraform to help make service deployment more efficient and consistent
Create data visualizations and reports from the data that has been extracted, transformed and loaded with tool such as Amazon Quicksight
Collaborate with data scientists, data engineers, and product managers to document requirements and deliver machine learning solutions
Develop and maintain data pipelines, feature engineering, and model training and deployment framework
Conduct exploratory data analysis, data preprocessing, and data cleaning
Perform model evaluation, selection, and optimization
Implement and maintain automated testing and monitoring for machine learning models in production
Requirements
Design & implementation experience with distributed applications
Experience in database architectures and data/MLOps pipeline development
Ability to work with loading and extracting data from Glue, SQL, DDL, DML commands
Working knowledge of AWS data technologies, like Sagemake
MLFlow or Sagemaker MLOps experience
Working knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar
Python or R experience
Working knowledge of AWS cloud computing platforms and services such as Sagemaker, S3, Athena,and Lambda
Working knowledge of software engineering principles and best practices, including version control, testing, and continuous integration/continuous deployment (CI/CD)
Ability to handle unstructured, semi-structured data, working in a data lake environment
Ability to work in an Agile environment
Working knowledge of software development tools and methodologies
Presentation skills with a high degree of comfort speaking with IT management, customers, and developers
AWS Certification (required within 6 months of hire)
Benefits & Compensation
Access to health, vision and dental insurance with options
Generous Paid Time Off (FlexPTO, parental leave, volunteering time off)
Reproductive health benefits
Pet insurance
401k matching program
Life insurance paid by Mission Cloud
An internal department dedicated to helping team members on their career path
Inclusive work environment with several Employee Resource Groups
Placement within the range is determined by a variety of factors, including but not limited to knowledge, skills, and ability as evaluated during the interview process. The compensation range for the base salary of this role is: $100,000 - $160,000.
Use of Artificial Intelligence (AI) Our company leverages Artificial Intelligence (AI) as a tool to enhance and streamline various aspects of the hiring process. By submitting your application, you acknowledge and consent to the use of AI technologies in activities such as resume screening, interview scheduling, note taking and other administrative functions. Please note that all hiring decisions are made by human reviewers in compliance with applicable laws and best practices.
About Mission Cloud Mission Cloud is an Amazon Web Services (AWS) Premier Consulting Partner and MSP. Clients depend on us to expertly and securely architect, migrate, manage, and optimize their cloud environments. Mission Cloud’s team of AWS Certified Solutions Architects and DevOps Engineers are ready to help you harness the full power of the AWS cloud to transform your business and operations.
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at Mission, a CDW Company by 2x
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Engineer, Machine Learning
role at
Mission, a CDW Company
Join to apply for the
Engineer, Machine Learning
role at
Mission, a CDW Company
Get AI-powered advice on this job and more exclusive features.
As a Engineer, Machine Learning you will work with our AI Solutions team to design, develop, build MLOps workflows and help deploy machine learning models to solve complex business problems. You will help our customers build modern data solutions on the AWS stack. This position is 100% remote with up to 25% travel required.
Responsibilities
Under the supervision of Big Data Consultants and Architects, work with multiple clients simultaneously to implement enterprise-wide scalable operations on AWS
Deploy and monitor machine learning models on AWS using tools such as SageMaker
Implement machine learning pipelines including data cleaning, training, evaluation and deployment
Develop models from customer data to meet customer goals
Write infrastructure as code scripts in CDK or Terraform to help make service deployment more efficient and consistent
Create data visualizations and reports from the data that has been extracted, transformed and loaded with tool such as Amazon Quicksight
Collaborate with data scientists, data engineers, and product managers to document requirements and deliver machine learning solutions
Develop and maintain data pipelines, feature engineering, and model training and deployment framework
Conduct exploratory data analysis, data preprocessing, and data cleaning
Perform model evaluation, selection, and optimization
Implement and maintain automated testing and monitoring for machine learning models in production
Requirements
Design & implementation experience with distributed applications
Experience in database architectures and data/MLOps pipeline development
Ability to work with loading and extracting data from Glue, SQL, DDL, DML commands
Working knowledge of AWS data technologies, like Sagemake
MLFlow or Sagemaker MLOps experience
Working knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar
Python or R experience
Working knowledge of AWS cloud computing platforms and services such as Sagemaker, S3, Athena,and Lambda
Working knowledge of software engineering principles and best practices, including version control, testing, and continuous integration/continuous deployment (CI/CD)
Ability to handle unstructured, semi-structured data, working in a data lake environment
Ability to work in an Agile environment
Working knowledge of software development tools and methodologies
Presentation skills with a high degree of comfort speaking with IT management, customers, and developers
AWS Certification (required within 6 months of hire)
Benefits & Compensation
Access to health, vision and dental insurance with options
Generous Paid Time Off (FlexPTO, parental leave, volunteering time off)
Reproductive health benefits
Pet insurance
401k matching program
Life insurance paid by Mission Cloud
An internal department dedicated to helping team members on their career path
Inclusive work environment with several Employee Resource Groups
Placement within the range is determined by a variety of factors, including but not limited to knowledge, skills, and ability as evaluated during the interview process. The compensation range for the base salary of this role is: $100,000 - $160,000.
Use of Artificial Intelligence (AI) Our company leverages Artificial Intelligence (AI) as a tool to enhance and streamline various aspects of the hiring process. By submitting your application, you acknowledge and consent to the use of AI technologies in activities such as resume screening, interview scheduling, note taking and other administrative functions. Please note that all hiring decisions are made by human reviewers in compliance with applicable laws and best practices.
About Mission Cloud Mission Cloud is an Amazon Web Services (AWS) Premier Consulting Partner and MSP. Clients depend on us to expertly and securely architect, migrate, manage, and optimize their cloud environments. Mission Cloud’s team of AWS Certified Solutions Architects and DevOps Engineers are ready to help you harness the full power of the AWS cloud to transform your business and operations.
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at Mission, a CDW Company by 2x
#J-18808-Ljbffr