Aws genai engineer

4 weeks ago

Hyderabad, India Tata Consultancy Services Full time
AWS Gen AI Engineer (Prompt Engineering, Python, Bedrock)
Required Technical Skill Set**
AWS Gen AI 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 Tensor Flow, Py Torch, or Keras.
Good-to-Have
SN
Responsibility of / Expectations from the Role
1
Main Responsibilities of a Generative AI Engineer
Your main responsibilities will include:
Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE (Variational Auto Encoders), 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 Engineer
Your main responsibilities will include:
Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE (Variational Auto Encoders), 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 you
TCS HR
Purnima Solanki

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