Automation Lead

Technical Skills:
      •     Proficiency in Python for scripting, data manipulation, and integration with automation workflows.
      •     Hands-on experience with Microsoft Power Automate, AI Builder, or similar automation platforms.
      •     Expertise in Generative AI frameworks (OpenAI, Hugging Face, LangChain) and prompt engineering.
      •     Strong knowledge of one of the cloud services (Azure, AWS, GCP) and serverless architecture.
      •     Solid understanding of OCR tools

Soft Skills:
      •     Excellent problem-solving skills with a focus on innovation.
      •     Strong communication and collaboration skills to work across technical and non-technical teams.
      •     Ability to document workflows, processes, and technical designs clearly.

Preferred Qualifications:
      •     Certifications in Python, Microsoft Power Platform, Cloud Services, or AI/ML frameworks.
      •     Experience in deploying Python-based  solutions
      •     Familiarity with data privacy regulations (e.g., GDPR, HIPAA) and secure document handling practices.

Automation support & Implementation

Job Summary:
We are seeking a skilled Senior Software Specialist to lead and develop automation solutions for document-centric workflows.

The role involves designing, building, and optimizing systems using cutting-edge technologies such as Microsoft Power Automate, cloud services, Generative AI, and Python programming.

The ideal candidate will have a strong background in automation frameworks, prompt engineering, and expertise in cloud platforms to deliver scalable and efficient document processing solutions.

Key Responsibilities:

1. Intelligent Document Processing & Automation:
      •     Develop end-to-end workflows for document digitization, extraction, and processing using tools like Microsoft Power Automate and AI Builder.
      •     Automate unstructured and semi-structured document processing using Python, machine learning models, OCR, and NLP techniques.
      •     Integrate Intelligent Automation platforms with enterprise systems (ERP, CRM, DMS).

2. Generative AI & Prompt Engineering:
      •     Design and fine-tune prompts to leverage large language models (e.g., GPT, Azure OpenAI, or similar) for document summarization, content generation, and classification.
      •     Use Python libraries (e.g., Hugging Face Transformers, LangChain) to experiment with and optimize model performance in document-specific tasks.
      •     Collaborate with data scientists to train and deploy custom Generative AI models tailored for IDP use cases.

3. Cloud Services Integration:
      •     Architect scalable solutions using cloud platforms such as Azure, AWS, or Google Cloud.
      •     Deploy and manage document processing pipelines in cloud environments.
      •     Leverage Python-based SDKs for seamless integration of cloud-based OCR, AI/ML, and automation services.

4. Process Improvement & Analytics:
      •     Analyze existing document processing workflows to identify bottlenecks and recommend optimizations.
      •     Build dashboards and analytics tools to track the efficiency and accuracy of automation processes using Python visualization libraries (e.g., Matplotlib, Seaborn, Plotly).
      •     Stay updated on industry trends and emerging technologies in IDP and recommend their adoption.

Python, Cloud Platform, Artificial Intelligence (AI), Machine Learning