Job Url: https://builtin.com/job/engineer-genai/6646670

Job Description: 
Mission Cloud
Engineer, GenAI
Job Posted 5 Days Ago Reposted 5 Days Ago
Hiring Remotely in Los Angeles, CA
In-Office or Remote
140K-178K Annually
Mid level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Consulting • Generative AI • Big Data Analytics
Our goal, every day, is to help you leverage cloud-based technologies to achieve great things. Your Mission Is Ours.
The Role
Design and implement MLOps workflows, deploy machine learning models on AWS, and collaborate with teams to solve business problems using AI techniques.
Summary Generated by Built In
As a Engineer, GenAI, 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.
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 requirement and delivery 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 Sagemaker
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 100% covered by Mission Cloud for employee and their dependents
Flexible Spending Accounts (Healthcare & Dependent Care)
Generous Paid Time Off (FlexPTO, parental leave, volunteering time off)
Reproductive health benefits
Pet insurance
401k matching program
Life insurance paid by Mission Cloud
Monthly flex stipend
Monthly cell phone stipend
Home office expense benefit
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: $140,000 - $177,500.
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.

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Top Skills
Amazon Quicksight
AWS
Cdk
Ddl
Dml
Mlflow
Python
PyTorch
R
Sagemaker
Scikit-Learn
SQL
TensorFlow
Terraform
What The Team Is Saying

Jale Uncu
Manager, Customer Success
“The last two years of life have been exponentially better because of Mission and the people who work here. At Mission, all the impossibles become possible and all decisions are made with transparency and empathy. “



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 Am I A Good Fit? 
beta
Design & implementation experience with distributed applications
Experience in database architectures and data/MLOps pipeline development
Working knowledge of machine learning libraries and frameworks
Working knowledge of AWS data technologies, like Sagemaker
MLFlow or Sagemaker MLOps experience
Python or R experience
AWS Certification (required within 6 months of hire)
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The Company
HQ: Los Angeles, CA
245 Employees
Year Founded: 2017
What We Do
Mission Cloud Services is a leading AWS Premier Tier Services Partner and Cloud Managed Services Provider. Through its dedicated team of expert cloud operations professionals, cloud analysts, and solutions architects, Mission delivers a comprehensive and differentiated suite of agile cloud services designed to help businesses migrate, manage, modernize and optimize their AWS cloud environments, facilitating continuous improvement and delivery across your entire cloud journey.

We believe that the cloud is the greatest business transformation tool of our time, capable of turning an unrealistic or impractical goal into an achievable reality. Our job is to provide the expertise, resources, and strategic insight you need to transform your cloud infrastructure and your business.

Why Work With Us
Mission is a 100% distributed team with distributed team benefits so every employee has the opportunity to work in an environment that is conducive to productivity and engagement. We rely on our core values to make decisions, give feedback and recognition, and to evaluate whether potential new team members are aligned with our culture.

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