Generative AI Engineer Jobs in India: Explore the List

Generative AI Engineer Jobs in India: Explore the List

View the complete list of the latest openings for Generative AI engineer jobs in India

The revolutionary technique of generative AI has arisen in the quickly developing field of artificial intelligence. The demand for Generative AI Engineers has increased due to the status of India as a global IT hub. These positions are made for experts who can use generative AI to build new models and algorithms. In India, a Generative AI Engineer is at the vanguard of this technological revolution, pushing the limits of what Artificial Intelligence is capable of. There are a ton of options for growth and creativity along this fascinating career path. Here is a list of the latest 10 Generative AI Engineer Jobs in India:

1. Generative AI Engineer

Generative AI Engineer at Gramener

Location: Bengaluru, Karnataka

Requirements: A degree in computer science, engineering, or a related subject at the bachelor, master, or doctoral levels. Strong grounding in deep learning, neural networks, and machine learning. A working knowledge of relevant AI libraries (TensorFlow, PyTorch, etc.) as well as programming languages like Python. As a Generative AI Engineer, you will be instrumental in creating cutting-edge generative artificial intelligence models and systems and putting them into use.

Link to Apply:

2. Generative AI Engineer

Generative AI Engineer at Siemens Healthineers 

Location: Bengaluru, Karnataka

Requirements: AI engineers with three to five years of experience. Strong machine learning background. A high level of programming proficiency. Thorough knowledge of generative models.

Link to Apply:

3. AI Engineer (Artificial Intelligence Expert)

AI Engineer (Artificial Intelligence Expert) at RChilli Inc.

Location: Remote

Requirements: A degree in computer science, artificial intelligence, machine learning, or a similar discipline, either at the bachelor's or master's level. 2-3 years of practical experience developing AI models, with a particular emphasis on NLP/NER and Generative AI (LLM). Python proficiency and familiarity with AI frameworks and libraries, such as TensorFlow, PyTorch, Hugging Face Transformers, Reinforcement learning, Multilingual models, Langchain Framework, OpenAI, etc.

Link to Apply:

4. Generative AI Engineer

Generative AI Engineer at TDM Digital Agency 

Location: Lucknow, Uttar Pradesh

Requirements: A track record of success in creating generative models, especially using GANs or comparable neural network designs. Outstanding problem-solving skills and an analytical outlook. A collaborative mindset with a sense of teamwork.

Link to Apply:

5. ML Engineer – Generative AI

ML Engineer – Generative AI at Apple

Location: Hyderabad, Telangana

Requirements: Solid knowledge and experience with big language models, deep learning, statistics, and sophisticated machine learning methods. A track record of success using transformer models like BERT, GPT, RoBERTa, etc. Strong knowledge of Python, PyTorch, TensorFlow, and JAX in software development. Experience with MLFlow/DVC/ClearML, Airflow, Docker, Git, and other MLOps technologies. Ability to clearly and effectively communicate analysis results in a meaningful way.

Link to Apply:

6. Generative AI Product Manager

Generative AI Product Manager at BuzzBoard

Location: Remote

Requirements: Deep learning, NLP, and machine learning are concepts you are familiar with. Should be equally good at  English and Python. Your skill for identifying market trends and turning them into game-changing solutions has been enhanced by your expertise in product management, notably in B2B SaaS. Your creative thinking is limitless.

Link to Apply:

7. Senior AI Engineer (Generative AI SaaS Company)

Senior AI Engineer (Generative AI SaaS Company) at SkyPoint Cloud

Location: Bengaluru, Karnataka

Requirements: 5+ years of expertise with Python or Scala for mission-critical applications. Creating ML and data pipeline designs for at least two years. ML and Generative AI experience is a must. knowledge of ML algorithms and deep learning methods. Proficiency with massive datasets and knowledge of Python or Scala. Understanding of k-means clustering, vector mapping, and semantic representations. Excellent knowledge of statistics, classification methods, and text representation techniques. Knowledge of ML libraries (such as scikit-learn) and frameworks (such as Keras or PyTorch).

Link to Apply:

8. Computer Vision Engineer

Computer Vision Engineer at Metapix

Location: Bengaluru, Karnataka

Requirements: Computer science, computer vision, machine learning, robotics, or a closely related technical field: MSc or PhD. Working knowledge of real-time SLAM, 3D reconstruction, sensor fusion, active depth sensing, object and body tracking, posture estimation, and/or image processing projects. Knowledge of computer vision methods such as Deep Computer Vision, Style GAN, Dream Factory, Neural style transfer, Deepfakes, stable diffusion, and Dreambooth, among others.

Link to Apply:

9. Principal QA Engineer

Principal QA Engineer at Prof Jim

Location: Remote

Requirements: 8+ years of manual and automated QA engineering expertise. Knowledge of QA automation framework setup and maintenance. Testing APIs and performance experience. Development of the test script, reviews, test execution, and defect reporting are among the main goals for this position.

Link to Apply:

 10. AI Engineer (Computer Vision & Image Segmentation)

AI Engineer (Computer Vision & Image Segmentation) at PixelPhant

Location: Udaipur, Rajasthan

Requirements: Degree in computer science, computer engineering, machine learning, or a similar discipline, either a bachelor's or master's degree. Solid skills in math, data science, calculus, and linear algebra. Knowledge of Matlab, Python, Java, and C++ programming. Proficiency with deep learning techniques and computer vision. The capacity to create algorithms for picture analysis.

Link to Apply:

Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.

Related Stories

No stories found.
logo
Analytics Insight
www.analyticsinsight.net