IdeyaLabs - Generative AI Engineer - Machine Learning/Deep Learning

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
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Experience with MLOps practices and tools.
• Certifications in relevant AI/ML or LCNC platforms.
  
  

(ref:hirist.tech)