Techno Wise

The Senior Software QA Automation Engineer is expected to possess the skills necessary for working closely with the engineering team during all aspects of the development process. This position requires a self-motivated and dynamic individual with strong technical and communication skills who can contribute in a team environment. 

1. Education/Experience/Skills 
2. Experience in one or more Scripting/Programming Languages including JavaScript, Python, or Swift 
3. Automation experience with testing methodologies; UI, Continuous Integration, Functional, Performance, Regression, and Load 
4. Automation development experience with tests and strategies for Web and Native Mobile products 
5. API automation test development and strategies experience 
6. Develop Automation test strategies; writing test plans, test cases, test tools, executing your plan, and reporting results 
7. Ability to deliver solid work on tight schedules 
8. Maintain and scale automation suites 
9. Ability to investigate, debug and triage difficult problems in automation, and independently work towards results 
10. Bachelor’s degree or higher in Computer Science or equivalent work experience 
11. 6-8 years of software testing of web-based and/or mobile applications 

PREFERRED EXPERIENCE 

1. TestComplete 
2. Advanced JavaScript, SQL 
3. BDD Processes, use of CucumberStudio (HipTest) 
4. LoadRunner 
5. Azure DevOps, (project tracking, CI/CD ) 
6. Experience with Continuous Integration systems and codebase management with Git 
7. Supervisor's Title 

Senior Manager, BUC Quality Engineering 

1. Disclaimer 
2. The above statements are intended to describe the general nature of work performed, not an exhaustive list of all essential functions and responsibilities. 

Position Overview:

 As a Generative AI Engineer, you will be responsible for designing, implementing, and optimizing generative AI models and algorithms.You will primarily work in building new b2c applications and integrating AI features into existing apps. You will work closely with cross-functional teams to integrate AI capabilities into our products. The ideal candidate will have a strong entrepreneurial mindset, who owns the entire AI implementation and is well versed in latest developments in GenAI and LLM space.

Key Responsibilities:

• Data Preprocessing & Augmentation: Work with large-scale datasets, preprocess data, and implement data augmentation techniques to improve the quality and diversity of training data.
• Algorithm Optimization: Optimize model performance, including reducing training time, improving accuracy, and enhancing the overall efficiency of generative AI systems and LLMs.
• Research & Innovation: Stay up-to-date with the latest research and trends in generative AI and propose innovative solutions for new challenges and applications.
• Collaboration: Work closely with product, engineering, and data science teams to understand use cases, define requirements, and integrate generative AI models into applications and products.
• Model Evaluation & Fine-tuning: Evaluate models using appropriate metrics and perform model fine-tuning to ensure high-quality outputs.
• AI Infrastructure & Deployment: Work with cloud-based environments and AI frameworks to deploy models and optimize their scalability and reliability.
• Documentation & Reporting: Document models, code, and processes clearly to ensure that solutions are reproducible and maintainable. Communicate findings and results to both technical and non-technical stakeholders.
• Setup and deploy new AI based processes in organization with the goal of improving efficiency in every department.

Required Qualifications:

• 3+ years of experience in machine learning or AI development, with a focus on generative models.
• Strong proficiency in programming languages such as Python, and experience with AI/ML libraries like TensorFlow, PyTorch.
• Working knowledge of javascript and other web concepts is a plus.
• Analyse and preprocess diverse datasets to extract meaningful information for AI applications
• Streamline the development and deployment of Generative AI models using cloud infrastructure and tools such as cognitive search, VectorDB, and frameworks like LangChain, LlamaIndex, HuggingFace, openAI APIs etc.
• Up to date with latest advancements in Gen AI and LLMs along with the knowledge in best models such GPT-x, Llama, claude, gemini and leaderboards for the same.
• Well versed with LLM concepts such as vector embeddings, RAGs, prompt engineering, transformers, fine tuning models, Semantic search, training large models etc.
• Solid understanding of deep learning fundamentals, including backpropagation, gradient descent, and neural network architectures.
• Experience in developing end to end AI applications from training to deployment. Previous experience in working with AI applications is a big plus.
• Strong research interest delving deep into depths of AI, LLM tech with passion.
• Experience working with AI coding tools such as bolt.new, claude, Github Copilot, Cursor.ai etc.
• Experience with large-scale data processing and working with cloud platforms (AWS, Google Cloud, Azure).
• Strong analytical and problem-solving skills with the ability to experiment and iterate quickly.
• Familiarity with model evaluation techniques and performance metrics specific to generative models.
• Good understanding of NLP and/or computer vision, depending on the focus area of the generative models.
• Strong communication skills and the ability to collaborate in a cross-functional team environment.