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.