Senior Staff Engineer - Data Science

• 8+ years of experience in Data Science
• Machine Learning, AI, or related fields.
• 2+ years of hands-on experience with Generative AI and Large Language Models (LLMs).
• Strong hands-on experience with AWS Bedrock and building enterprise GenAI applications.
• Experience working with Foundation Models and LLM APIs.
• Strong understanding of: Prompt Engineering Retrieval-Augmented Generation (RAG)
• Embeddings and Vector Search Semantic Search Context Management LLM Evaluation AI Guardrails and Responsible AI Strong programming skills in Python.
• Experience with ML and data science libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow.

Job Description:

• Provide KTLO support for the current implementation.

• Learn and retain knowledge of business and team development processes.
• Collaborate with onshore team.
• Provide technical impact and root cause analysis on production issues.
• Perform Incident Management and Defect Resolution.
• Create regular status reporting.

• Provide long-term enhancements towards modernization & new development efforts.

• Adhere to ADRs (architectural decision records), selected tooling, and deliver all new services/products in technology agreed upon and supported by engineering leadership.

• Design solutions.
• Adhere to agile delivery practices to facilitate small, quick changes and tighten feedback loops with low volatility.
• Create POCs if necessary.
• Develop high-quality code.
• Conduct Code reviews
• Deploy features using identified tools and processes.
• Provide detailed documentation and process flow diagrams.
• Write Test automation Scripts.
• Perform Logging and Monitoring
• Maintenance and support for feature and defect tracking

Must have skills : AWS Bedrock Good to have skills: Job Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!