- Enhance our platform by integrating generative AI and ML features for intelligent test automation.
- Build, deploy, and manage ML models on cloud platforms.
- Improve and extend existing AI/ML capabilities already integrated into the product.
- Collaborate with engineering to ensure smooth integration of AI/ML features into the SDLC.
- Monitor performance of deployed models, troubleshoot issues, and optimize results.
- Automate and streamline deployment workflows using CI/CD pipelines.
- Stay current with advancements in GenAI, ML, and cloud tools to identify opportunities for the product.
- 3 years of experience building and deploying ML/AI solutions in production.
- Proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn, or Keras).
- Hands-on experience deploying ML solutions on cloud platforms.
- Familiarity with generative AI models / LLMs and their use in applied business cases.
- Experience in LLM fine-tuning and integrating models into applications.
- Strong understanding of ML algorithms, deep learning, and data preprocessing.
- Experience with CI/CD pipelines and automation in a cloud environment.
- Knowledge of software testing practices (a plus for aligning with our platform).
- Experience with AWS services (Bedrock, SageMaker, etc.)
- Prior experience in test automation or DevOps tooling
- Hands-on work with LLM fine-tuning and prompt engineering
- Exposure to test automation frameworks and related tools
Skills Required
- B.E. or B.Tech. degree
- 3 years of relevant experience
- 3 years of experience building and deploying AI or ML solutions in production
- Proficiency in Python
- Experience with TensorFlow, PyTorch, scikit-learn, or Keras
- Hands-on experience deploying ML solutions on cloud platforms
- Familiarity with generative AI models and large language models
- Experience with LLM fine-tuning and integrating models into applications
- Understanding of ML algorithms, deep learning, and data preprocessing
- Experience with CI/CD pipelines and cloud automation
- Knowledge of software testing practices
- Experience with AWS services such as Bedrock and SageMaker
- Prior experience in test automation or DevOps tooling
- Hands-on experience with LLM fine-tuning and prompt engineering
- Exposure to test automation frameworks and related tools
What We Do
Re-Imagine Testing with algoQA The Digital economy is pushing software companies to refresh products in short order. Companies are under tremendous cost-and-time pressure. Faster time-to-market with no compromise on quality & reliability, at a lower cost, is the need. Software testing in such a scenario needs to be quick and responsive to the constantly evolving software. This is where algoQA, by Algoshack Technologies steps-in. algoQA is a born-agile platform that transforms software quality engineering by enabling a design first outlook. We have re-imagined testing with algoQA, a low code, no code platform that can auto generate test cases and test scripts that can be played back in technologies of your choice, giving you the freedom to not be locked-in to an automation platform. The low code / no code, easy to learn platform is technology agnostic, and covers Web, Desktop, Mobile & Hybrid Applications, as well as applications for Robotic Process Automation and Embedded technologies. It supports UI Based Test Automation, API Test Automation and Load Test Automation, by producing an optimal number of test cases written in Gherkin language along with datasets, and executable test scripts. The platform produces scripts in the technology of choice and the scripts can be executed anywhere. All it takes is a simple profiling of the application under test using Drag & Drop & Wizards. Join Us Be a part of this incredible team as we disrupt software delivery for the better. Connect with us: E-mail: [email protected] Facebook: www.facebook.com/algoshacktechnologies/ Instagram: https://www.instagram.com/algoshack_
