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
- Adhere to ADRs (architectural decision records), selected tooling, and deliver all new services/products in technology agreed upon and supported by engineering leadership.
Must have skills : AWS Bedrock Good to have skills: Job Description
Skills Required
- 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
- Strong hands-on experience with AWS Bedrock and enterprise Generative AI applications
- Experience with foundation models and LLM APIs
- Understanding of prompt engineering, Retrieval-Augmented Generation, embeddings, vector search, semantic search, context management, LLM evaluation, AI guardrails, and responsible AI
- Strong programming skills in Python
- Experience with Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow
Nagarro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.
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Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
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Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
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Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).
Nagarro Insights
What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
