Automation AI/ML Engineer
5 days ago
Job Title: Automation Engineer - AI/ML & Automation
Experience : 3+ Years
Notice Period : Immediate to 20 days, On-Site
Role Description : -
- We are looking for a highly skilled and communicative Automation Engineer based in Hyderabad with a strong background in AI/ML, OCR projects, and Python-based automation
- The ideal candidate will have experience in building intelligent data solutions using machine learning techniques and automation tools such as Power Automate and Selenium (Python-based)
- Strong problem-solving skills and the ability to communicate effectively with technical and non-technical stakeholders are essential for this role
Key Responsibilities
- Design and implement AI/ML models for document processing, classification, and prediction tasks using Python
- Develop and deploy OCR-based solutions using tools like Tesseract, Google Vision API, or similar
- Build and maintain automated workflows using Power Automate to streamline business processes
- Automate data collection and testing processes using Selenium with Python
- Collaborate with data scientists, business analysts, and product teams to define use cases and deliver ML-powered solutions
- Write clean, efficient, and reusable code and ensure best practices in automation and model deployment
- Communicate technical concepts clearly with internal teams and stakeholders
Required Skills & Qualifications
- 3+ years of experience in data engineering, machine learning, or automation roles
- Strong programming skills in Python, with experience in ML libraries such as scikit-learn, TensorFlow, or PyTorch
- Hands-on experience with OCR technologies (Tesseract, Azure OCR, Google Vision, or AWS Textract )
- Experience with Power Automate for workflow automation
- Proficiency in Selenium with Python for web automation and testing
- Strong verbal and written communication skills
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Good to Have Experience working with cloud platforms like Azure or AWS
- Exposure to RPA frameworks or low-code platforms
- Familiarity with APIs and integration of third-party AI tools
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