Position: AI-ML Engineer

Experience: 7+ Years

Location: Remote

Travel: Required for onboarding

About the Role

Qloron Technology is looking for an experienced AI-ML Engineer with strong expertise in Python automation, Machine Learning, AWS Cloud, AWS Bedrock, LLMs, prompt engineering, and cloud infrastructure testing.

The ideal candidate will have experience developing AI-driven automation solutions, working with large datasets, automating vulnerability management reporting, and designing multi-layered application infrastructure across on-premises and AWS environments.

Key Responsibilities

1. AI/ML & Prompt Engineering

- Develop and optimise prompts to automate test data extraction from databases.
- Leverage AWS Bedrock LLM models to build AI-powered automation solutions.
- Apply machine learning techniques to improve testing, analysis, and automation processes.
- Identify opportunities to integrate AI/ML into existing testing workflows.

2. Python Automation & Data Analysis

- Develop Python-based automation solutions for analysing large datasets.
- Automate vulnerability management reporting and data processing.
- Extract, process, and analyse data from multiple database sources.
- Build scalable automation frameworks for reporting and analysis.

3. Cloud Infrastructure & Application Testing

- Apply cloud concepts and capabilities to deliver testing for cloud-hosted applications.
- Design, build, and deploy multi-layered application infrastructure across on-premises and AWS environments.
- Work with AWS services, including Bedrock and LLM-based capabilities.




- Develop optimisation strategies to improve testing efficiency and identify technical gaps.

4. Test Data & Workplace Management

- Drive test data management, test environment management, and service virtualisation strategies.
- Expand service virtualisation (SV) capabilities across projects.
- Develop strategies for test data extraction, preparation, and automation.
- Promote shift-left testing practices and continuous optimisation.

5. Architecture & Engineering

- Handle solution design, technical definition, planning, and development.
- Follow architectural and development best practices.
- Maintain proper code management, technical documentation, and design artefacts.
- Conduct design reviews and code reviews.
- Ensure adherence to established architecture and engineering standards.

6. Leadership & Collaboration

- Communicate testing objectives, progress, and results to leadership.
- Train and educate teams on service virtualisation concepts and expectations.
- Collaborate with engineering, testing, infrastructure, and business teams.

Required Skills & Experience
- 7+ years of experience in AI/ML engineering, software engineering, automation, or related technical domains.
- Strong programming experience in Python, Java, R, or equivalent languages.




- Hands-on experience with Python-based automation and large-scale data analysis.
- Experience with AWS Cloud and cloud-hosted application testing.
- Knowledge of AWS Bedrock and LLM-based applications.
- Experience in prompt engineering and AI-driven automation.
- Understanding of machine learning concepts and practical applications.
- Experience designing and deploying multi-layered application infrastructure across on-premises and AWS environments.
- Knowledge of test data management, test environment management, and service virtualisation.
- Strong understanding of software architecture, code management, documentation, and development best practices.
- Experience with design reviews, code reviews, and technical documentation.

Additional Expectations
- Ability to develop optimisation strategies and identify testing gaps.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Willingness to travel for onboarding.

? Interested candidates can share their updated resumes at:

Email: [email protected]

Subject: Application – AI-ML Engineer

Please mention:

- Total IT experience
- AI/ML experience
- Python automation experience
- AWS experience
- AWS Bedrock / LLM experience
- Prompt engineering experience
- Current CTC and expected CTC
- Notice period
- Current location

? www.qloron.com

- #Hiring #AIMLEngineer #MachineLearning #ArtificialIntelligence #Python #AWS #AWSBedrock #LLM #PromptEngineering #AutomationTesting #CloudComputing #VulnerabilityManagement #QloronTechnology

📌 AI-ML Engineer (Nagpur)
🏢 Qloron
📍 Nagpur