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: vishwajit.mandal@qloron.com

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

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