Software Test Engineer

3 days ago

Anantapur, India Quik Hire Full time

Summary We are seeking a talented Software Test Engineer to join our engineering team and drive the design, development, and deployment of AI-powered solutions. This role is ideal for professionals passionate about artificial intelligence, machine learning, and software engineering who want to make a tangible impact on real-world applications. As a Software Test Engineer, you will collaborate with engineers, data scientists, and product managers to build, optimize, and scale AI models and systems. You will work with cutting-edge tools and frameworks while applying your expertise in algorithms, data processing, and system integration to deliver high-performance AI solutions. Key Responsibilities - Design, develop, test, and deploy AI/ML models and applications. - Build data pipelines for preprocessing, cleaning, and transforming large datasets. - Train, evaluate, and fine-tune machine learning models for production use. - Integrate AI models into applications and production systems. - Research and implement new AI frameworks, tools, and methodologies to enhance capabilities. - Debug, optimize, and scale algorithms to improve system performance. - Collaborate with cross-functional teams (data science, product, engineering) to deliver end-to-end AI solutions. - Contribute to technical documentation, code reviews, and best practices. Qualifications - Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - Strong programming skills in Python, Java, or C++. - Solid understanding of machine learning concepts (classification, regression, NLP, computer vision, deep learning). - Hands-on experience with frameworks such as TensorFlow, PyTorch, or scikit-learn. - Proficiency in algorithms, data structures, and object-oriented programming. - Experience building and deploying AI applications in real-world environments. - Strong analytical, problem-solving, and debugging skills. Preferred Qualifications - Experience with large-scale data pipelines and distributed systems. - Familiarity with cloud platforms (AWS, Azure, or GCP). - Knowledge of APIs, microservices, and containerization (Docker, Kubernetes). - Exposure to MLOps practices and continuous integration/continuous deployment (CI/CD). - Strong interest in applied AI and innovation in emerging technologies. Apply Now

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