AWS GenAI Engineer

2 weeks ago

Hyderabad, India Tata Consultancy Services Full time
AWS GenAI Engineer (Prompt Engineering, Python, Bedrock)

Required Technical Skill Set**

AWS GenAI Engineer (Prompt engineering, Python, Bedrock)

Desired Experience Range-10to13 yrs

Location of Requirement -

Kolkata,Hyd,Chennai,Bangalore,Pune

Desired Competencies (Technical/Behavioral Competency)Must-Have**(Ideally should not be more than 3-5)Deep learning techniques such as GPT, VAE, and GANs.Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.

Good-to-Have

SNResponsibility of / Expectations from the Role1Main Responsibilities of a Generative AI EngineerYour main responsibilities will include:Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE (Variational AutoEncoders), and GANs (Generative Adversarial Networks).Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.Optimizing existing generative AI models for improved performance, scalability, and efficiency.Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.Contributing to the establishment of best practices and standards for generative AI development within the organization.Providing technical mentorship and guidance to junior team members.Main Responsibilities of a Generative AI EngineerYour main responsibilities will include:Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE (Variational AutoEncoders), and GANs (Generative Adversarial Networks).Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.Optimizing existing generative AI models for improved performance, scalability, and efficiency.Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.Contributing to the establishment of best practices and standards for generative AI development within the organization.Providing technical mentorship and guidance to junior team members.

Thank youTCS HRPurnima Solanki

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