- Develop feature engineering components to source and acquire structured and unstructured data to support modeling efforts. Strong emphasis on data modeling techniques during feature engineering and system design
- Collaborate with Data Engineers and IT Domain Experts to understand source data and formulate hypotheses and insights prior to model design , using multi signal data sources.
- Develop and deploy machine learning models, to solve business problems using variety of algorithms and techniques like LLM , Generative AI & RAG; using Azure and Databricks platforms
- Work closely with partners to gather requirements and implement solutions that meet their needs
- Embrace best practices, processes related to MLOps , Coding standard methodologies for the broader data science and engineering teams.
- Experience in optimizing model accuracy and runtime performance using techniques such as model compression and parallelization
- Mentor and provide guidance to junior team members, fostering a culture of continuous learning and improvement
- Stay up to date with industry trends and advancements in Machine Learning, Generative AI, Prompt engineering, Cloud and related technologies
- An advanced degree in Machine learning, Data Science, Computer Science, Engineering, or Statistics
- Minimum of 5 years of experience solving high-impact business problems using Machine learning & Data science
- Proven experience as a Data/ML Engineer, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
- Hands-on experience with Azure tech stack, including Azure cognitive search, Langchain, Vector stores. Experience in Azure OpenAI and open-source models like Llama, is a bonus
- Strong partner management, ability to translate sophisticated technical topics into business language, presentation skills, and an ability to balance a sense of urgency with shipping high-quality and pragmatic solutions.
- Strong software development skills with proficiency in Python and advanced working SQL knowledge, preferably using the Azure stack and experience with Azure ML, Databricks, Azure Data Factory.
- Experience in productionizing code through the DevOps pipeline (git, Jenkins pipeline, code scan).
- Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
- We’ll empower you to learn and grow the career you want.
- We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
- As part of our global team, we’ll support you in shaping the future you want to see.