AI-Powered Conversational Assistant Lead

1 week ago

Chennai Bengaluru Bangalore Hyderabad Secunderabad Telangana, India beBeeDataEngineer Full time ₹ 1,50,000 - ₹ 28,00,000
Senior Data Engineer

Role Overview

We are seeking a highly skilled Senior Data Engineer to lead the development of data pipelines, model training, and infrastructure setup to deliver a seamless, privacy-compliant experience for users seeking personalized health insights.

Key Responsibilities:

  • Data Integration & Pipeline Development: Design and implement scalable data pipelines to support training and finetuning of knowledge base and user data, ensuring data quality, scalability, and efficiency.
  • Data Processing & Transformation: Develop data transformation processes to prepare data for Natural Language Processing (NLP) models, facilitating personalized and accurate health recommendations.
  • Privacy & Security Compliance: Ensure all data handling practices comply with privacy and security standards, focusing on user data protection within AI model training and deployment.
  • Infrastructure Setup & Management: Build and maintain foundational cloud infrastructure on Google Cloud Platform (GCP) to host, deploy, and scale securely and efficiently across platforms.
  • Collaboration with AI & DevOps Teams: Partner with AI/ML and DevOps teams to finetune, test, and optimize NLP models for production, focusing on deployment performance and user experience.
  • Website & Mobile Integration Support: Work alongside frontend developers to ensure smooth data flow and integration between the backend, website and mobile app.
  • Monitoring & Optimization: Implement monitoring, logging, and automated alerts to ensure data pipelines, model interactions, and infrastructure meet performance and reliability requirements.

Requirements:

  • Education: Bachelor's or Master's in Computer Science, Data Engineering, or a related field.
  • Experience:
  • 3+ years in data engineering, preferably within Generative AI or NLP-focused projects.
  • Hands-on experience with Google Cloud Platform (GCP), including BigQuery, Dataflow, and Cloud Storage.
  • Proven ability in data pipeline design and data transformations for AI model training.
  • Skills:
  • Strong programming skills in Python and familiarity with SQL.
  • Experience with DevOps tools (e.g., Kubernetes, Docker) and CI/CD pipelines in GCP.
  • Proficient in data management practices, data privacy, and security protocols.
  • Familiarity with AI/ML workflows, specifically NLP model training and finetuning.
  • Nice to Have:
  • Experience working with Contentful, or React Native integrations.
  • Knowledge of MLOps practices to support continuous model training and deployment.

Benefits:

  • Opportunity to work on cutting-edge Generative AI-powered conversational assistant project.
  • Chance to collaborate with experienced AI/ML and DevOps teams.
  • Professional growth and development opportunities in a dynamic environment.

Others:

  • Role: Senior Data Engineer
  • Industry Type: IT Services & Consulting
  • Department: Engineering - Software & QA
  • Employment Type: Full Time, Permanent
  • Role Category: Software Development

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