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Full-Time

Generative AI Engineer

Posted on 6/18/2024

Mission Cloud

Mission Cloud

201-500 employees

Cloud computing solutions leveraging AWS expertise

Consulting
Hardware
Energy

Compensation Overview

$176k - $198kAnnually

Mid, Senior

Remote in USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
AWS
Natural Language Processing (NLP)
Computer Vision
Requirements
  • Proven experience in implementing and deploying generative AI models in practical applications
  • Strong programming skills in languages like Python, TensorFlow, PyTorch, or similar AI frameworks
  • Solid understanding of deep learning architectures and generative models such as GANs, VAEs, etc
  • Familiarity with natural language processing (NLP) and computer vision (CV) applications in generative AI
  • Experience in data pre-processing, feature engineering, and data augmentation for training generative models
  • Proficiency in data manipulation, statistical analysis, and model evaluation techniques
  • Strong problem-solving and analytical skills, with the ability to think creatively and adapt to new challenges
  • Excellent communication skills to collaborate with interdisciplinary teams and present complex technical concepts to non-technical stakeholders
  • Passion for continuous learning and a keen interest in exploring the potential of generative AI in various industries
  • AWS Solution Architect - Professional Certification (required within 6 months of hire)
  • AWS Specialty Certification - Machine Learning (required within 1 year of hire)
Responsibilities
  • Facilitate design sessions with the Mission Cloud team to create the strategy, architecture, and implementation plan for generative AI implementation
  • Design, develop, and deploy generative AI models that demonstrate high performance and efficiency in solving complex problems
  • Collaborate with data scientists, engineers, and domain experts to integrate generative AI solutions into existing systems or products
  • Implement and fine-tune existing generative AI algorithms and models to meet specific use-case requirements, including scalability and resource efficiency
  • Conduct thorough testing and validation of generative AI solutions to ensure accuracy, reliability, and robustness
  • Communicate proposed solutions to internal team so they understand the benefits, translating technical elements into business language
  • Develop strategic roadmaps and project plans based on Mission goals
  • Work with Project Managers to set customer expectations, drive alignment, and coordinate timelines
  • Explore and experiment with the latest advancements in generative AI research to improve system performance and capabilities
  • Stay up-to-date with the latest trends, tools, and technologies in the generative AI field
  • Document the implementation process, provide technical documentation, and contribute to knowledge sharing within the team
  • Lead strategic initiatives within Mission Cloud to keep DAML at the forefront of AI and AWS technologies
  • Contribute marketing materials for Mission Cloud in the Generative AI space

Mission Cloud specializes in providing cloud computing solutions, focusing on Amazon Web Services (AWS) to assist businesses in building and securing advanced applications. The company helps a wide range of clients, from small startups to large enterprises, by offering expert guidance in migrating to the cloud, optimizing cloud infrastructure, and ensuring data security and compliance. Mission Cloud's services include consulting, where they design and implement tailored cloud strategies, managed services for ongoing support and management of cloud environments, and training programs to educate clients on using AWS tools effectively. Unlike many competitors, Mission Cloud emphasizes a combination of online and in-person learning opportunities, such as webinars and conferences, to keep clients informed about the latest cloud technology advancements. The company's goal is to help clients achieve their cloud computing objectives while prioritizing data privacy and security.

Company Stage

Series B

Total Funding

$40M

Headquarters

El Segundo, California

Founded

2017

Growth & Insights
Headcount

6 month growth

-7%

1 year growth

-8%

2 year growth

-2%
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Simplify's Take

What believers are saying

  • Recognition as a Great Place to Work for five consecutive years highlights Mission Cloud's strong workplace culture and employee satisfaction.
  • The strategic partnership with CrowdStrike enhances Mission Cloud's security offerings, providing clients with advanced threat detection and response capabilities.
  • Being named on CRN's MSP 500 list in the Elite 150 category underscores Mission Cloud's excellence and leadership in managed services.

What critics are saying

  • The reliance on AWS as the sole cloud platform could limit Mission Cloud's market reach and adaptability to clients using other cloud services.
  • The rapidly evolving cloud services market requires continuous innovation and adaptation, posing a challenge to maintain a competitive edge.

What makes Mission Cloud unique

  • Mission Cloud's exclusive focus on AWS services allows it to offer highly specialized and optimized cloud solutions, unlike competitors who may spread their expertise across multiple cloud platforms.
  • The company's commitment to security and compliance, bolstered by its strategic partnership with CrowdStrike, provides a robust defense against cloud breaches, setting it apart in the cloud services market.
  • Mission Cloud's unique combination of consulting, managed services, and training programs ensures comprehensive support for clients at every stage of their cloud journey.

Benefits

Medical, dental, and vision insurance

401(k) plan with company matching

Profit sharing bonuses based on performance

Flexible Spending Accounts (Health and Dependent Care)

Paid time off

Inclusive work environment with several Employee Resource Groups

Flexible work hours

Home office expense benefit

Cell phone stipend

Flex stipend

INACTIVE