Hyd Ml Ops

2 weeks ago

Hyderabad Telangana, India FactSet Research Systems Full time

Responsibilities:Develop and maintain machine learning pipelines to support our machine learning models.
- Ensure the integration and maintenance of model and prompt libraries.
- Assist in fine-tuning, testing, and deploying sophisticated machine learning models.
- Utilize Infrastructure as Code (IaC) for managing and provisioning through the complete lifecycle of cloud resources.
- Collaborate closely with the Data Engineering and our Artificial Intelligence and Machine Learning teams to ensure seamless adoption of traditional ML and Large Language Models into our products
- Develop, integrate, automate, and deploy to optimize the interaction between different system components.Minimum Requirements:Bachelor’s degree in computer science, engineering, mathematics, or a related field
- 5+ years software experience object-oriented language (Python)
- Experience with Data Pipelines related to ML workflows
- Infrastructure-as-Code deployments (terraform)
- Experience working with Traditional ML and tools
- Experience with Large Language Models (such as OpenAI GPT Models, Llama2)
- Experience optimizing Large Language Models (LoRA, Quantization)-
- Experience in Natural Language Processing (Word Embeddings, Text Summarization, Intent Detection, Named Entity Recognition)
- Experience within Financial Services Industry or products a bonusSome of the areas you will be working on:- Working with traditional Machine Learning Techniques and tools
- Working on deploying MLOps and LLMOps Tools and Ecosystems such as MLFlow, AWS Sagemaker, GCP Vertex AI or comparable ML tooling across the firm
- Managing, optimizing data pipelines related to RAG and other ML Workflows
- Usage of Python in a data-intensive environment
- Working to deploy, automate with cloud-based IaC tools for fully automated deployments
- Using and leveraging REST interfaces and various API endpoints to integrate multiple tools at FactSet

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