Develops algorithms and applications, performs large scale experimentation, builds data driven apps to translate data into intelligence, and develops solutions for solving business problems using coding. Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data. Organizes, interprets and structures insights from data, detects data anomalies and makes corrections. Performs descriptive statistical analysis, develops visualizations, applications, dashboards, or presentations and communicates insights in a clear and effective way to help the organization with better decision making. Supports troubleshooting service offerings using proprietary analytical platforms, commercial tools and custom scripts. Drives the design, development and optimization of artificial intelligence/machine learning, deep learning training and inference frameworks, contributes to the research and development of data science activities and supports product development efforts as required. Develops and programs methods, processes, and systems to consolidate and analyze diverse big data sources, establishing standard methodologies for data science including modeling, coding, analytics, and experimentation. Explores, compiles, and collects data from new or known sources, sometimes in partnership with technical staff/engineers to derive useful insights and/or make predictions. Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution across clients
- Bachelor's Degree in Computer Science or related field with 2-4 years of equivalent experience.
- 1-2 years Python development experience including Pandas, PyTorch, Jupyter and other AL/ML skills.
- Vector Databases and Embedding Search, Document Scraping and Chunking, LangChain or Semantic Kernel
- Develop and implement enterprise solutions for document processing, utilizing cutting-edge technologies like large language models and generative AI.
- Handson working with Azure Services, Large Language Models like GPT3.5-Turbo, GPT-4 etc
- Experience with Prompt Engineering, frameworks like langchain, llama-index and vector databases like chroma DB, PGVector and deployment.
- 1-2 years hands on SQL and database management.
- Experience in Airflow, Kubernetes.
- Strong understanding of machine learning techniques and algorithms.
- Experience of prompt engineering, fine-tuning, evaluating, and developing data collection, annotation, management tooling for LLMs.
- experience with model deployment
- Experience working with Git, including pulling, pushing and merging code.
- Experience with popular ml frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers, and libraries like OpenCV, scikit learn,pandas, spacyetc.
- Experience working on a SCRUM software delivery team.
- Excellent written and verbal communication skills for coordinating across teams with advanced level of English.
Preferred Qualifications:
2-4 years general software engineering experience, Azure capabilities, VM management and Powershell., Process Modeling and Redesign experience including LSS techniques
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.