Generative AI Engineer

ICS Compute

Jakarta Pusat

On-site

IDR 70,000,000 - 110,000,000

Full time

14 days+
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Job summary

ICS Compute is seeking an experienced AI Engineer to collaborate with multidisciplinary teams to translate client requirements into Generative AI prototypes and demos. You will design and implement scalable Generative AI models for prototyping and craft production-grade demos tailored to client needs.

The role requires strong deep learning expertise, hands-on experience with GANs/VAEs/Transformers, and excellent communication for client-facing engagements.

Qualifications

  • Bachelor's/Master's degree in Computer Science, Engineering, or related field. A PhD is a plus.
  • 2+ years as an AI Engineer, focusing on Generative AI, prototyping, and client-facing demos.
  • Strong proficiency in Generative AI, deep learning, and neural networks; hands-on with advanced Generative AI models.
  • Proficiency in Python, TensorFlow, PyTorch, or related technologies.
  • Familiarity with GANs, VAEs, Transformer models.
  • Solid understanding of software development methodologies and best practices.
  • Excellent communication and presentation skills for diverse audiences.

Responsibilities

  • Collaborate with multidisciplinary teams to translate client requirements into Generative AI prototypes and demos
  • Design, develop, and implement Generative AI models and algorithms for prototyping purposes
  • Create production-grade demos highlighting capabilities of Generative AI solutions tailored to client needs
  • Engage with clients to gather feedback and refine prototypes and demos accordingly
  • Provide technical expertise during client presentations and demonstrations
  • Stay updated on latest Generative AI technologies to enhance demo capabilities
  • Collaborate with the development team to transition prototypes into production-ready Generative AI solutions

Skills

Generative AI
Prototyping
Client-facing
Deep learning
Neural networks
Python
TensorFlow
PyTorch
GANs
VAEs
Transformers
Software development
Communication

Education

Bachelor's/Master's degree in Computer Science, Engineering, or related field (PhD a plus)

Tools

N/A

Job description

Collaborate with multidisciplinary teams to understand client requirements and translate them into Generative Al prototypes and demos

Design, develop, and implement cutting-edge Generative Al models and algorithms for prototyping purposes, ensuring scalability, creativity, and efficiency

Create production-grade demos highlighting the capabilities of Generative Al solutions, tailored to meet specific client needs and preferences

Engage with clients to gather feedback, understand their objectives, and refine prototypes and demos accordingly

Provide technical expertise and guidance during client presentations and demonstrations, effectively showcasing the unique features a n d potential applications of Generative Al solution

Explore and stay updated on the latest developments in Generative AI technologies, tools, and methodologies to enhance demo capabilities and stay ahead of industry trends

Collaborate with the development team to transition successful prototypes into full-scale, production-ready Generative Al solutions.

Minimum Qualifications
  • Bachelor's/Master's degree in Computer Science, Engineering, or related field. APhD is a plus
  • Proven experience (+2 y e a r s working as an AI Engineer, specifically focusing on Generative Al,
  • prototyping, and delivering demos in a client-facing role
  • Strong proficiency in Generative Al, deep learning, and neural networks, with hands-on experience in
  • implementing advanced Generative Al models and algorithms
  • Expertise in programming languages such a s Python, TensorFlow, PyTorch,or related technologies 5.
  • Familiarity with Generative Al frameworks and libraries (e.g., GANs, VAEs, Transformer models)
  • Solid understanding of software development methodologies and best practices
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly to diverse audiences
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