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2 Days ago

Gen AI Engineer

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Surat, Gujarat, India
Information Technology
Other
ideyaLabs

Overview

ideyaLabs is seeking a talented and innovative Generative AI Engineers with experience in leveraging Low-Code/No-Code (LCNC) platforms. This unique role will be at the forefront of developing and deploying cutting-edge generative AI models while utilizing LCNC tools to accelerate prototyping, integration, and application development. The ideal candidate will possess a strong understanding of generative AI techniques, proficiency in programming, and a passion for exploring the synergy between AI and rapid application development.
Responsibilities:
  • Generative AI Model Development & Deployment:
  • Design, develop, train, and evaluate generative AI models for various applications (e.g., text generation, image synthesis, code generation, synthetic data generation).
  • Implement and optimize generative AI models using relevant frameworks (e.g., TensorFlow, PyTorch, Transformers).
  • Deploy and scale generative AI models on cloud platforms (e.g., AWS, Azure, GCP) or on-premise infrastructure.
  • Stay up-to-date with the latest advancements in generative AI research and techniques.
  • Low-Code/No-Code Platform Utilization:
  • Utilize LCNC platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy) to rapidly prototype and build applications that integrate with generative AI models.
  • Develop user interfaces and workflows using LCNC visual development tools.
  • Connect generative AI APIs and services to LCNC applications.
  • Build and deploy data connectors and integrations between various systems using LCNC capabilities.
  • Integration & Application Development:
  • Design and implement robust APIs and integration strategies to connect generative AI models with other systems and applications.
  • Collaborate with software engineers and data scientists to build end-to-end AI-powered solutions.
  • Develop and maintain documentation for AI models, LCNC applications, and integration processes.
  • Experimentation & Innovation:
  • Research and experiment with new generative AI models, LCNC platforms, and integration techniques.
  • Evaluate the feasibility and potential of applying generative AI to solve specific business problems.
  • Contribute to the development of best practices and guidelines for using generative AI and LCNC tools.
  • Collaboration & Communication:
  • Work closely with cross-functional teams, including product managers, designers, and business stakeholders.
  • Communicate technical findings and progress effectively to both technical and non-technical audiences.
  • Participate in code reviews and knowledge-sharing activities.
Qualifications:

  • Education:
    Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Experience:
3+ years of experience in developing and deploying machine learning models, with a focus on generative AI.
  • Proven experience working with at least one or more Low-Code/No-Code development platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy).
  • Experience in building and consuming APIs (RESTful, etc.).

Technical Skills:
  • Strong programming skills in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers).
  • Solid understanding of deep learning concepts and architectures relevant to generative models (e.g., GANs, VAEs, Diffusion Models, Transformers).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Understanding of database concepts and SQL.
  • Proficiency in using visual development tools and integration capabilities of LCNC platforms.
Soft Skills:
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to learn quickly and adapt to new technologies.
  • Proactive and self-motivated with a strong sense of ownership.
  • Passion for innovation and exploring the potential of generative AI.
Preferred Qualifications:
  • Experience with specific generative AI applications relevant to our industry (e.g., content generation, synthetic data for [mention industry]).
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).
  • Experience with MLOps practices and tools.
  • Certifications in relevant AI/ML or LCNC platforms.
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