AI-ML Engineer

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 & Environment 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

Skills
Python, Java, AWS, Machine Learning, Data Analysis, LLM, Onboarding

Experience
7+ yrs

Work arrangement
No