drjobs AI Big Data Enablement Engineer

AI Big Data Enablement Engineer

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1 Vacancy
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Job Location drjobs

Hyderabad - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We are seeking pragmatic AI Big Data Enablement Engineers to join our dynamic team to build and optimize data and analytics solutions as well as perform ML enablement and participate in generative AI initiatives and and specialize in implementing Developer Enablement technologies leveraging reusable and scalable frameworks to craft the future of Wallet and Apple Pay. You will collaborate with cross-functional teams across different time zones and contribute to scalable data architectures.


  • Bachelors or Masters degree in Computer Science or a related technical field or equivalent experience
  • 4 years of experience in designing developing and deploying data engineering or analytics engineering solutions
  • Strong proficiency in SQL Scala Python or Java with hands-on experience in data pipeline tools (e.g. Apache Spark Kafka Airflow) CI/CD practices and version control.
  • Familiarity with cloud platforms (AWS Azure GCP) big data technologies and data analytics tools like Snowflake Databricks and Tableau.
  • Familiarity with RAG-LLM solutions GenAI models APIs and prompt engineering.
  • Expertise in CI/CD tools like Jenkins GitHub Actions.
  • Strong analytical skills to optimize developer workflows.


  • Expertise in building and refining large-scale data pipelines as well as developing tools and frameworks for data platforms.
  • Hands-on experience with big data technologies such as distributed querying(Trino) real-time analytics(OLAP) near-real-time data processing(NRT) and decentralized data architecture (Apache Mesh).
  • Experience enabling ML pipelines including automating the data flow for feature engineering model retraining performance monitoring models in production drift detection and ensuring scalability.
  • Familiarity with GenAI concepts like Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) prompt engineering vector embeddings and LLM fine-tuning.
  • Familiarity with observability tools like DataDog Prometheus Grafana.
  • Expertise in building user journey workflow and test suite automation.
  • Familiarity with data governance security protocols and compliance.
  • Proven ability to work independently escalate blockers and propose thoughtful long-term solutions.
  • Demonstrates sound judgment applies technical principles to complex projects evaluates solutions and proposes new ideas and process improvements.
  • Seeks new opportunities for growth demonstrates a thorough understanding of technical concepts exercises independence in problem-solving and delivers impactful results at the team level.
  • * Familiarity with Fintech Wallet domain digital commerce etc..

Employment Type

Full-Time

Company Industry

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