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Sr. Gen AI Engineer // 9yrs plus // Bangalore

9-14 years

Bangalore / Bengaluru

Sr. Gen AI Engineer // 9yrs plus // Bangalore

2COMS

posted 30min ago

Job Role Insights

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Job Description

SUMMARY

Opportunity for Lead/ Manager Gen Ai, with a Global Fortune 500 IT solutions MNC, Pan india

 

Body:

Greetings from 2COMS Consulting

We have been retained by a Global Fortune 500 IT solutions MNC, for Cloud Video Streaming profs, their Chennai, Bangalore and Coimbatore offices.

Our Client: Global Fortune 500 IT solutions company specializing in delivering simple and scalable solutions to address complex business problems. More than 500,000 staff delivers technical and domain expertise across multiple platforms and industries to help enterprise companies drive productivity, efficiency and gain the most out of their technology investments.

  Job Description:
Designation:Lead/Manager
Primary skill: Gen Ai,LSTM,BERT,GPT,Machine Learning,Deep Learning (Should strong in Gen Ai)

Work Location: Pan India

Notice period: Immediate to 90 days
Total Experience:9-12yrs
Job Description:

 

  • Overall, 9 12years and minimum 5+ years of relevant experience in Gen Ai is must.

 

          Strong foundation in machine learning, deep learning, and computer science.

          Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers).

          Experience with natural language processing (NLP) and computer vision is a plus.

          Ability to work independently and as part of a team.

          Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models.

          Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models.

          Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models.

          Experience in developing and deploying AI models in production environments.

  • Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes    for deploying , managing and scaling AI solutions
  • Should be able to bring new ideas and innovative solutions to our clients

Employment Type: Full Time, Permanent

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2COMS Benefits

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