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Generative AI Consultant/Engineer

4 months ago

Hyderabad, India SDNA Full time

Job Description :

Requirement Name / Title : Gen AI Consultant

Experience : 10+ years

Location : BLR/Pune/Chennai/Kol/Hyd

Notice : Immediate to 15 days

Shift : Regular shift - 3 days from office

Mandatory Skills : Generative AI

Preferred Skills : Langchain/LLM, SQL, Python, Any cloud(pref AWS), Tensorflow/Pytorch

Job Description / Roles & Responsibilities (in Detail) :

- Contribute to the design and implementation of state-of-the-art AI solutions.

- Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.

- Collaborate with stakeholders to identify business opportunities and define AI project goals.

- Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.

- Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.

- Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.

- Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.

- Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.

- Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.

- Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.

- Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.

- Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.

- Ensure compliance with data privacy, security, and ethical considerations in AI applications.

- Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

(ref:hirist.tech)