AI Engineering Lead

2 weeks ago


Bengaluru, India Saaki Argus & Averil Consulting Full time
Job Description:

· Design, construct, and validate AI models and algorithms; enhance their performance for practical applications.· Keep abreast of new discoveries in the field of artificial intelligence and look for chances to apply cutting-edge research to practical issues.· Look into novel algorithms to address core AI issues.· Supervise a group of engineers and data scientists who work on AI projects.· Offer guidance and advice on AI to internal and external clients while maintaining relationships with cross-functional stakeholders.· Work with cross-functional teams to establish strategies in terms of organisational, technical, human resources, and other factors.· Mentor and guide aspiring data scientists and AI engineers.

Must Have:

- A bachelor's or master's degree in engineering or computer science- 10+ years of experience, at least five of which were spent implementing and overseeing AI projects- Python-based machine learning and artificial intelligence techniques.- Proven experience with deep learning tools such as Convolutional Neural Networks (CNN), Residual Neural Networks (ResNet), Long Short- Term Memory (LSTM), Bidirectional Encoder Representations from Transformers (BERT), Generative Adversarial Networks (GAN), Generative Pre-Training Models (GPT), and transformers.- Practical knowledge of deep learning frameworks such as Theano, Pytorch, Caffe, MxNet, or Tensorflow- Knowledge of large-scale model training and evaluation on high-performance computer clusters.- Comprehensive knowledge in computer vision, natural language processing, and deep learning.- Excellent problem-solving skills and ability to work independently and in a team environment.- Experience in Big data

Desirable to have:

- A Ph.D. in electrical engineering, computer science, or a related subject.- Proven track record of creating AI models and publishing research in prestigious journals and conferences.- Experience developing and deploying AI/ML solutions in a cloud environment, such as Google Cloud (GCP), Amazon Web Services (AWS), or Microsoft Azure.- Expertise in cutting-edge generative AI models like GPT-3, DALL-E, and CLIP.- Outstanding interpersonal, communication, and presenting abilities as well as a spirit of cooperation in a team

Location: Bangalore



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