Lead Engineer

1 week ago

Chennai, Tamil Nadu, India Prodapt Full time ₹ 20,00,000 - ₹ 25,00,000 per year
Overview

Join the Prodapt team in building a unified, enterprise-scale solution for model, data, and service management across the AI/ML lifecycle. You will help design, develop, and optimize robust workflows that empower data scientists, engineers, and business teams to efficiently prepare datasets, manage models, and orchestrate services at scale.

Responsibilities

Design, develop, and maintain scalable data integration and ETL pipelines using Informatica, PySpark, and Apache Kafka.Build and optimize model development workflows leveraging Python, TensorFlow, PyTorch, scikit-learn, and MLflow.Develop and manage cloud-native infrastructure using Google Cloud Platform (GCP), Kubernetes, Docker, and multi-cloud environments (OCI, AWS, Azure).Implement and support data storage solutions including Oracle Exadata, HDFS, Hive, Google Cloud Storage, and key-value stores (Juno, Aerospike).Integrate CI/CD pipelines using Google Cloud Build, Jenkins, Ansible, and Harness for automated deployment and testing.Ensure robust security and compliance through role-based access controls, encryption, and integration with IAM tools (Hashicorp Key Vault, Sailpoint).Collaborate with cross-functional teams to deliver reliable, production-grade solutions for model/data/service workflows.Monitor, troubleshoot, and optimize platform performance using DataDog, Oracle Enterprise Manager, and other monitoring tools.Contribute to documentation, onboarding guides, and best practices for users and developers.Requirements

Required Technical SkillsProficiency in Python and experience with ML/AI model development (TensorFlow, PyTorch, scikit-learn, MLflow).Experience with data integration and ETL tools (Informatica, PySpark, Apache Kafka).Hands-on experience with cloud platforms (GCP, OCI, AWS, Azure), Kubernetes, and Docker.Strong understanding of data storage and management (Oracle Exadata, HDFS, Hive, GCS, key-value stores).Experience with CI/CD tools and automation for ML/data workflows.Knowledge of security best practices, IAM, and compliance requirements.Excellent troubleshooting, debugging, and communication skills.Preferred QualificationsExperience with large-scale financial/ML platforms.Familiarity with agentic frameworks, GPT-powered APIs, and orchestration SDKs.Exposure to workflow automation (Control-M, Airflow) and enterprise scheduling.Experience with monitoring, dashboarding, and operational health tools.Knowledge of data privacy, vulnerability scanning, and compliance automation.

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