Generative AI Engineer (Visual - Content Focus)

at  Zenith Services

QUALIFICATIONS:

• Programming Skills: Proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or Jax.
• Generative Models: Strong understanding of generative model architectures (GANs, VAEs, diffusion models, transformers) and training techniques.
• Creative Mindset: A passion for creativity and innovation, with a desire to explore the artistic potential of AI.
• Problem-Solving: Excellent problem-solving and analytical skills, with the ability to tackle complex challenges in the field of generative AI.
• Communication: Strong communication and collaboration skills to effectively work in a team environment and present your work to stakeholders.
• Portfolio: A portfolio demonstrating your expertise in generative AI and your ability to create high-quality visual and content outputs.
  Required Skills -
  Graduate degree in computer science, data science, engineering, physics, mathematics, statistics, or other quantitative fields
  7+ years of experience in AI, machine learning, data science, engineering and architecture with a proven track record to drive innovation and impacts
  Strong knowledge and experience with big data platforms (AWS, Azure, Spark) and ML/AI languages and tools (Python, TensorFlow, PyTorch)
  Experience working with technologies related to LLMs including architectures, model evaluation, pre-training and fine-tuning techniques
  Experience in design, deployment, and evaluation of LLM-powered AI agents and tools
  Experience in prompt engineering, RAG, open source frameworks for building applications with LLM like LangChain
  Job Duties -
  Develop, operationalize, measure, and manage Gen AI models, and maintain high system reliability & safety.
  Design solution architecture and develop compound AI systems for enterprise use cases.
  Build Gen AI prototypes, PoCs, and explore new applications across the organization.
  Communicate, collaborate, and build relationships with internal and partner teams to drive Gen AI adoption and implementation.
  Provide thought leadership to advance Gen AI research. Build partnership with academic and leading AI companies.
  Job Requirements -
  Graduate degree in computer science, data science, engineering, physics, mathematics, statistics, or other quantitative fields
  7+ years of experience in AI, machine learning, data science, engineering and architecture with a proven track record to drive innovation and impacts
  Strong knowledge and experience with big data platforms (AWS, Azure, Spark) and ML/AI languages and tools (Python, TensorFlow, PyTorch)
  Experience working with technologies related to LLMs including architectures, model evaluation, pre-training and fine-tuning techniques
  Experience in design, deployment, and evaluation of LLM-powered AI agents and tools
  Experience in prompt engineering, RAG, open source frameworks for building applications with LLM like LangChain
  Experience in developing large-scale AI/ML services
  Desired Skills & Experience -
  Self-starter and self-motivated with the proven ability to deliver results in a high-energy environment
  Works effectively cross functional teams to build trusted partnership

• Image and Video Generation: Create AI systems capable of generating realistic and diverse images, videos, and animations for various applications.
• Text Generation: Develop AI models that can generate creative and engaging text formats, including articles, stories, scripts, and marketing copy.
• Content Customization: Implement mechanisms for customizing generated content based on user preferences, styles, and specific requirements.
• Optimization and Evaluation: Fine-tune generative models for optimal performance, quality, and efficiency. Develop evaluation metrics to assess the quality and effectiveness of generated content.
• Research and Innovation: Stay up-to-date with the latest advancements in generative AI research and explore new techniques and approaches to enhance our capabilities.
• Collaboration: Collaborate with other team members, including researchers, engineers, and designers, to integrate generative AI solutions into our products and platforms.