Description

You will build and maintain automation solutions, data pipelines, and AI-driven processing workflows for structured and unstructured data.

This role is remote.

Responsibilities

• Develop and maintain reusable data processing utilities, ETL/ELT pipelines, and automation frameworks.
• Build, test, and deploy machine learning, NLP, OCR, and Generative AI solutions for business and environmental use cases.
• Design data pipelines for structured and unstructured data from databases, APIs, documents, and cloud platforms.
• Create AI-powered assistants, RAG solutions, and intelligent document processing workflows.
• Collaborate with stakeholders to translate business requirements into scalable technical and data-driven solutions.

Required Skills

• Python and SQL for data processing and scripting.
• Experience with ETL/ELT pipelines and data engineering workflows.
• Proficiency in Machine Learning, NLP, and Generative AI concepts.
• Hands-on experience with Azure and/or AWS cloud platforms.
• Knowledge of Data Science principles and data quality assurance.
• Experience with OCR and automated data extraction solutions.
• 3–6 years of experience in Data Science, Automation, AI, Analytics, or Data Engineering.

Preferred Skills

• Experience with Agentic AI, RAG architectures, LangChain, or LLM-based solutions.
• Familiarity with PySpark, Airflow, MLflow, TensorFlow, or PyTorch.

Key Skills

Education

Any Graduate