1. Job Description

2. Key Responsibilities

- Solution Design: Design and develop AI/ML-driven automation solutions using Python, focusing on intelligent decision-making and data processing.
- Model Integration: Build and integrate machine learning models for use cases such as document processing, classification, prediction, and sentiment analysis.
- Core Scripting: Develop Python-based automation scripts for data extraction, transformation, API integrations, and workflow optimization.
- Process Integration: Integrate AI/ML capabilities into business processes using tools like Microsoft Power Automate and RPA platforms.
- Workflow Orchestration: Orchestrate end-to-end automation workflows by combining AI models with Power Automate (Cloud and Desktop flows).
- Stakeholder Collaboration: Collaborate with business stakeholders to identify opportunities for AI-driven automation and translate them into scalable solutions.
- Performance Evaluation: Monitor, evaluate, and improve model performance and automation reliability.
- System Maintenance: Debug, test, and maintain automation pipelines to ensure efficiency and scalability.
- Documentation: Prepare technical documentation for models, scripts, workflows, and integrations.
- Auxiliary Engineering: (Optional -.NET Add-on) Develop backend services or APIs in.NET (C#) to support AI-powered automation systems.

- Qualifications

- Bachelor’s degree in Computer Science, Engineering, Data Science,



or a related field.

- Required Skills & Experience

- Experience Baseline: Minimum 1 year of experience in Python development, AI/ML, or intelligent automation.
- Technical Proficiencies: Robust proficiency in Python, including libraries such as Pandas, NumPy, and basic ML frameworks (e.g., scikit-learn).
- Theoretical Foundations: Understanding of core machine learning concepts (classification, regression, NLP basics).
- Integration Protocols: Experience working with APIs (REST) and integrating multiple systems.
- Data Dexterity: Exposure to handling structured and unstructured data for automation use cases.

- Preferred Skills (Good to Have)

- Experience with NLP, document intelligence, or chatbot frameworks.
- Familiarity with LLM-based workflows and AI-assisted automation (e.g., prompt engineering, agents).
- Hands-on experience with Microsoft Power Automate (Cloud/Desktop flows) or other RPA tools (UiPath, Automation Anywhere).
- Experience with cloud platforms such as Microsoft Azure (AI services, Functions, Logic Apps).
- Knowledge of Power Platform components (Power Apps, Dataverse).
- Technical exposure to.NET (C#) for API or backend development architectures.
- Operational familiarity with version control systems like Git.

Pay: ₹12,000.00 - ₹15,000.00 per month

Benefits :

- Flexible schedule

Work Location: In person

📌 Ai/ml Engineer (Nashik)
🏢 Rotten Grapes private
📍 Nashik