Ahmedabad, Gujarat, India
Information Technology
Full-Time
Providence India
Overview
How is this team contributing to vision of Providence?
- Ensure a continual and seamless service for customers regardless of which services they access.
- End-to-end development and quality of solutions and services in conversational & Agentic AI capability
- Understanding and Implementing advanced techniques in Agentic AI & Conversational AI Frameworks.
- Introduce best practices in AI Frameworks.
- Lead the design and development of Agentic AI Frameworks, models and systems, ensuring high performance and scalability.
- Good in Python, RestAPI and data structure skills
- Fine-tune and optimize pre-trained large language models (LLMs) such as GPT, LLAMA, Falcon, and Mistral.
- Implement and manage model quantization techniques (e.g., GPTQ, AWQ, 8-bit/4-bit models) to enhance model efficiency.
- Utilize Langchain, Dagster etc for orchestration and memory management in agentic applications.
- Conduct thorough model evaluations using metrics such as BLEU, ROUGE, and perplexity to ensure model quality and performance.
- Develop and maintain systems for intent recognition, entity extraction, and generative dialogue management.
- Stay updated with the latest advancements in NLP and AI technologies and apply them to ongoing projects.
- Mentor and guide junior engineers, fostering a culture of continuous learning and innovation.
- Minimum 6 years of experience in Programming Languages & AI Platforms
- Strong understanding of deep learning fundamentals, including LSTM, RNN, ANN, POS tagging, and Transformer models.
- Strong understanding and proficiency in Agentic AI Frameworks.
- Proven experience in fine-tuning pre-trained LLMs (e.g., GPT, LLAMA, Falcon, Mistral) and Quantization.
- Knowledge of model quantization techniques (GPTQ, AWQ, 8-bit/4-bit models).
- Proficiency in using orchestration frameworks, state and memory management.
- Experience with model evaluation metrics such as BLEU, ROUGE, and perplexity.
- Understanding of intent recognition, entity extraction, and generative dialogue management systems.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
- Good Understanding with Azure AI Foundary, Azure AI search, Indexing
- Knowledge in Kubernetes is good to have.
- Knowledge of Microsoft Event Hubs or Kafka Technologies
- Experience with load testing and unit testing tools.
- Proficient understanding source control and code versioning tools such as GIT, Azure DevOps etc.
- Familiarity with CICD and DevOps.
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