About the role
Company 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!
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:
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Provide KTLO support for the current implementation.
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Learn and retain knowledge of business and team development processes.
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Collaborate with onshore team.
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Provide technical impact and root cause analysis on production issues.
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Perform Incident Management and Defect Resolution.
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Create regular status reporting.
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Provide long-term enhancements towards modernization & new development efforts.
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Adhere to ADRs (architectural decision records), selected tooling, and deliver all new services/products in technology agreed upon and supported by engineering leadership.
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Design solutions.
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Adhere to agile delivery practices to facilitate small, quick changes and tighten feedback loops with low volatility.
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Create POCs if necessary.
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Develop high-quality code.
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Conduct Code reviews
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Deploy features using identified tools and processes.
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Provide detailed documentation and process flow diagrams.
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Write Test automation Scripts.
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Perform Logging and Monitoring
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Maintenance and support for feature and defect tracking
Qualifications Must have skills : AWS Bedrock Good to have skills: Job Description
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