GEN AI Frameworks Engineer

  • Posted 17 hours ago | Updated 17 hours ago

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

GEN AI
Frameworks
GANs
Python

Job Details

About DataAffect: We are a boutique data/service management firm specializing in the delivery of Data Governance, Enterprise Data Strategy, Solutions Architecture, Data Warehousing, Data Integrations, Data Security & Privacy Management, IT Service Management, Business analysis, and Agile Project Management services to diverse clients across multiple industries.

Role: GEN AI Frameworks Engineer
Location: Remote
Duration: 6+ months

Please find the JD for the GEN AI Frameworks engineer role. We need someone who has contributed to open-source frameworks. This should be evident from his personal GIT repo. Location is flexible and open to remote as well.

A Frameworks Engineer specializing in Generative AI (GenAI) for enterprise platforms plays a crucial role in empowering businesses to leverage AI's transformative potential. This role involves designing, developing, and implementing the underlying frameworks, tools, and platforms that enable the creation, deployment, and management of GenAI solutions across an organization.

Required skills:

  • Deep understanding of GenAI models and architectures: Strong knowledge of LLMs, GANs, Variational Autoencoders (VAEs), and other generative techniques.
  • Proficiency in programming languages: Expertise in Python, with experience in relevant libraries like TensorFlow and PyTorch.
  • Experience with enterprise AI platforms and cloud services: Familiarity with platforms like AWS AI/ML, Google Cloud AI, Azure AI, IBM Watsonx, etc.
  • Strong software engineering skills: The ability to design, develop, and deploy scalable, enterprise-grade systems, including microservices architectures and robust APIs.
  • Knowledge of MLOps/LLMOps principles and tools: Experience with managing the end-to-end AI lifecycle, including continuous integration, deployment, and monitoring.
  • Understanding of data governance, security, and compliance: Ensuring adherence to regulations and ethical guidelines in AI development and deployment.
  • Excellent problem-solving, communication, and collaboration skills: Working effectively within cross-functional teams and translating complex technical concepts to diverse audiences.
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