Job Description
About Us
We are an equal opportunity employer, embracing diversity in all its forms. Our commitment to culture and diversity is reflected in our people stories across the workforce, implemented through equitable workplace policies and processes.
We are a leading IT services, consulting, and business solutions organization with over 55 years of experience partnering with major businesses on their transformation journeys.
Key Responsibilities
- Drive data requirements conversations and work with the Data Office to obtain required data for use cases.
- Collaborate with the UI team to support front-end integration, picking up UI work as needed.
- Monitor user feedback to improve BOT response quality through enhancements.
- Evaluate and implement best practices and processes related to MLOps and coding.
- Solve high-impact business problems using machine learning and the latest advancements in LLMs.
Requirements
- Proven experience as a ML Engineer with a strong focus on generative AI, prompt engineering, and RAG applications.
- Strong software development skills with proficiency in Python, Pyspark, preferably using Databricks Azure ML.
- Better understanding of React or equivalent UI frameworks is beneficial.
- Ability to balance urgency with shipping high-quality and pragmatic solutions.
- Experience productionizing code through the DevOps pipeline (git, Jenkins pipeline, code scan).
Job Highlights
- Focus on generative AI, prompt engineering, and RAG applications.
- Use of Python, Pyspark, Databricks Azure ML.
- Collaboration with UI teams and emphasis on MLOps.
- Contribution to high-impact business solutions using machine learning.