Providence Global Center - Lead Data Scientist

Lead Data Scientist (5-10 yrs)

- Experience of designing, developing, verifying (evaluating) AI ML solutions Agentic AI experience.

- Deployment knowledge. Good at designing solutions at scale, aware of security standards and best practices.

- Knowledge on Azure/AWS

- Expertise in ML, generative AI, RAG implementation

- Knowledge on data visualization (Power BI) is preferred.

- Certification on AI ML / Generative IA is a plus/preferred

How is this team contributing to vision of Providence?

- Ensure a continual and seamless service for customers regardless of which services they access.

What will you be responsible for?

- 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.

What would your day look like?

- 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.

Who are we looking for?

- Minimum 5 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.

Requirements added by the job poster:

- 1+ years of work experience with Machine Learning

- Commute to this job's location

- 1+ years of work experience with Agentic AI Development

- Working in an onsite setting