Data Automation (Python)
On-siteBengaluru, Karnataka, India or New Delhi, Delhi, India
Job Summary
Develop reusable analytics, data processing, AI, and automation frameworks to support scalable solution delivery. Build, test, and deploy machine learning, NLP, OCR, and Generative AI solutions for environmental use cases. Design and maintain ETL/ELT pipelines for structured and unstructured data from databases, APIs, documents, and cloud platforms. Develop AI-powered assistants, RAG solutions, and intelligent document processing workflows. Perform data cleansing, transformation, feature engineering, and quality assurance activities. Support cloud-based analytics using Azure, AWS, and Microsoft Fabric while utilizing Git, Azure DevOps, and Agile methodologies. Collaborate with stakeholders to translate business challenges into data-driven, AI-enabled technical solutions and prepare technical documentation and testing records.
Required Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Artificial Intelligence, or related discipline
- 3–6 years of experience in Data Science, Automation, AI, Analytics, or Data Engineering
- Strong proficiency in Python, SQL, and data manipulation libraries such as Pandas and NumPy
- Experience with Machine Learning, NLP, OCR, Computer Vision, or Generative AI technologies
- Experience developing ETL pipelines and working with APIs, databases, and cloud platforms
- Working knowledge of Azure, AWS, Microsoft Fabric, or similar cloud ecosystems
- Strong analytical, problem-solving, communication, and stakeholder engagement skills
Desired Qualifications
- Experience with Agentic AI, RAG architectures, LangChain, Copilot Studio, or LLM-based solutions
- Experience with PySpark, Airflow, MLflow, TensorFlow, PyTorch, or similar technologies
- Experience implementing OCR, document intelligence, and automated data extraction solutions
- Exposure to environmental, sustainability, ESG, GIS, or EHS datasets
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