Data Engineer
17 hours ago
We are looking for a Data Engineer to design, build, and automate data pipelines and ML workflows that support AI-driven analytics and predictive insights. The ideal candidate will have hands-on experience with Python, ML frameworks, and real time data streaming platforms, enabling seamless integration of AI models with backend systems.
Key Responsibilities:
• Develop and maintain end-to-end ML pipelines, including data ingestion, transformation, and model integration.
• Build and manage real-time data streaming using Kafka to support analytical and AI workflows.
• Collaborate with AI/ML and backend teams to integrate models into production systems and APIs.
• Perform data cleaning, preprocessing, and feature engineering to prepare high quality datasets.
• Support predictive analytics dashboards by providing processed data and model outputs.
• Optimize ML workflows for performance, scalability, and efficiency.
• Monitor, troubleshoot, and maintain data pipeline reliability and data integrity.
• Document workflows, standards, and best practices for data processing and ML integration.
Additional Skills:
• Strong proficiency in Python, Pandas, and ML frameworks like TensorFlow or PyTorch.
• Experience with Flask/FastAPI for model deployment and integration.
• Knowledge of PostgreSQL for structured data storage and Superset for visualization.
• Excellent analytical, problem-solving, and communication skills.
• Team-oriented with the ability to collaborate across functions.
• Hindi-speaking ability will be an added advantage for coordination with field and backend teams.
Educational Qualification:
• Bachelors Degree in Computer Science, Data Science, Artificial Intelligence, or a related field (mandatory).
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