On-Site
Full-Time
Bengaluru, Karnataka
India
Skills
Test Automation
Computer Science
Software Development
Communication
Programming
Analytical Skills
Statistics
Optimization
Research Projects
Probability Theory
About the Role
Job Description
Position: GenAI Engineer
Location: Bengaluru
Experience: 5+years
Full Time- On site
Notice Period: Immediate joiners only.
Budget: ₹20–30 LPA (based on experience and fit)
The ideal candidate will have a deep understanding of the theoretical foundations of generative Al, as well as the practical skills necessary to develop and deploy generative Al models. They will be able to work independently and as part of a team, and they will be able to communicate effectively with both technical and non-technical audiences. A chance to make a real impact on the field of artificial intelligence.
Develop compute infrastructure to support cloud-based generative models like GANs, VAEs, and diffusion models for automotive applications
Develop simulations leveraging generative models to synthesize sensor data, scenarios, and other driving environments
Engineer solutions using few-shot learning and prompt-based techniques to rapidly adapt models to new tasks
Optimize generative models for performance, scalability, and efficient deployment on embedded systems
Establish testing frameworks to validate model robustness, safety, and performance
Develop and deploy generative Al models for image generation, text generation, or music generation.
Develop new methods for training generative Al models on large datasets.
Develop new ways to deploy generative Al models in production.
Collaborate with researchers and engineers to advance the state of the art in generative Al.
What You Bring
Bachelor's degree in Computer Science or related field or equivalent experience.
3+ years' experience building and deploying Al systems.
5-10 years of technology industry experience
Expertise in training and deploying large generative models like DALL-E, GPT-3, etc.
Proficiency with Python and TensorFlow or PyTorch, or related libraries
Strong software engineering skills and knowledge of model optimization techniques
Ability to solve complex problems through novel applications of generative Al
Added bonus if you have
Strong experience in REACT
Strong experience in DevOps
Theoretical foundations of generative Al, including probability theory, statistics, and machine learning.
Develop and deploy generative Al models, including deep learning frameworks, large-scale data processing and analysis, and programming skills in Python or a similar language.
Work independently and as part of a team and communicate effectively with both technical and non-technical audiences.
Work on cutting-edge research projects in generative Al, and make a real impact on the field of artificial intelligence.
Position: GenAI Engineer
Location: Bengaluru
Experience: 5+years
Full Time- On site
Notice Period: Immediate joiners only.
Budget: ₹20–30 LPA (based on experience and fit)
The ideal candidate will have a deep understanding of the theoretical foundations of generative Al, as well as the practical skills necessary to develop and deploy generative Al models. They will be able to work independently and as part of a team, and they will be able to communicate effectively with both technical and non-technical audiences. A chance to make a real impact on the field of artificial intelligence.
Develop compute infrastructure to support cloud-based generative models like GANs, VAEs, and diffusion models for automotive applications
Develop simulations leveraging generative models to synthesize sensor data, scenarios, and other driving environments
Engineer solutions using few-shot learning and prompt-based techniques to rapidly adapt models to new tasks
Optimize generative models for performance, scalability, and efficient deployment on embedded systems
Establish testing frameworks to validate model robustness, safety, and performance
Develop and deploy generative Al models for image generation, text generation, or music generation.
Develop new methods for training generative Al models on large datasets.
Develop new ways to deploy generative Al models in production.
Collaborate with researchers and engineers to advance the state of the art in generative Al.
What You Bring
Bachelor's degree in Computer Science or related field or equivalent experience.
3+ years' experience building and deploying Al systems.
5-10 years of technology industry experience
Expertise in training and deploying large generative models like DALL-E, GPT-3, etc.
Proficiency with Python and TensorFlow or PyTorch, or related libraries
Strong software engineering skills and knowledge of model optimization techniques
Ability to solve complex problems through novel applications of generative Al
Added bonus if you have
Strong experience in REACT
Strong experience in DevOps
Theoretical foundations of generative Al, including probability theory, statistics, and machine learning.
Develop and deploy generative Al models, including deep learning frameworks, large-scale data processing and analysis, and programming skills in Python or a similar language.
Work independently and as part of a team and communicate effectively with both technical and non-technical audiences.
Work on cutting-edge research projects in generative Al, and make a real impact on the field of artificial intelligence.