Description

Key Skills: Python, SQL, Machine Learning, ETL/ELT Pipelines, Azure, AWS, Data Science, NLP, OCR, Generative AI

Good to Have Skills: 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 is considered advantageous.

Roles & Responsibilities:

• Develop and maintain automation solutions, reusable utilities, and data processing workflows.
• Build, test, and deploy machine learning, NLP, OCR, and Generative AI solutions for business and environmental use cases.
• Design and maintain data pipelines for structured and unstructured data from databases, APIs, documents, and cloud platforms.
• Develop AI-powered assistants, RAG solutions, intelligent document processing workflows, and knowledge management systems.
• Perform data cleansing, transformation, feature engineering, validation, and quality assurance activities.
• Support implementation of cloud-based analytics solutions using Azure, AWS, Microsoft Fabric, and related technologies.
• Utilize Git, Azure DevOps, and Agile methodologies to support collaborative software development and deployment.
• Develop reusable analytics, data processing, AI, and automation frameworks to support scalable and efficient solution delivery across projects.
• Collaborate with stakeholders to gather requirements and translate business challenges into data-driven, AI-enabled, and automation solutions.
• Collaborate with project teams to identify automation opportunities and convert business requirements into scalable technical solutions.
• Prepare technical documentation, testing records, user guides, and implementation artifacts.

Experience Required: 3–6 years of experience in Data Science, Automation, AI, Analytics, or Data Engineering.

Education: Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, Artificial Intelligence, or related discipline

Key Skills

Education

Any Graduate