Senior data science engineer at a digital product engineering services firm supporting an enterprise client: day to day they keep an existing GenAI implementation running (KTLO support, incident management, root-cause analysis, code reviews) while delivering modernization, POCs, and new features. Core stack: Python, AWS Bedrock, LLMs, RAG, and ML libraries like PyTorch/TensorFlow.
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!
Job Description
- 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
Qualifications
Must have skills : AWS Bedrock Good to have skills: Job Description