AI/ML Engineer

Job Title: AI/ML Engineer Designation: Data Scientist Job Summary: We are seeking a skilled AI/ML Engineer with a strong foundation in Artificial Intelligence and Machine Learning (AIML) and software development. The ideal candidate will be proficient in Python and have hands-on experience with Generative AI and Retrieval Augmented Generation solutions, particularly in the context of software testing. This role requires a blend of technical expertise, innovative thinking, and effective communication skills to contribute to our quality assurance solutions. Responsibilities: * Develop and implement AIML solutions focused on enhancing software testing processes. * Utilize Generative AI and Retrieval Augmented Generation techniques to improve testing efficiency and accuracy. * Work with Large Language Models (e.g., GPT, Claude) to create and optimize AIML applications. * Leverage GitHub Copilot for code generation and enhancement in AIML projects. * Regularly utilize Agentic AI solutions and Model Control Platforms (MCPs) in project workflows. * Deploy AIML solutions using Docker and Kubernetes, ensuring scalability and reliability. * Collaborate with front-end developers to build user interfaces using React for AIML applications. * Employ Python libraries such as NLTK, NumPy, Scikit-learn, and Pandas for data manipulation and model development. * Implement AIML algorithms including Regression, Classification, Decision Trees, KNN, and K-Means. * Build, train, and fine-tune AIML models to meet project requirements. * Apply lifecycle principles and quality assurance methodologies throughout the development process. * Conduct automated testing and maintain a strong understanding of test automation frameworks. * Utilize SQL for data querying and management as part of AIML solutions. * Participate in Agile processes, including sprint planning, backlog refinement, and retrospectives. * Communicate effectively with both technical and business stakeholders to ensure alignment on project goals. Mandatory Skills: * Proficiency in AIML and Python programming. * Experience with Generative AI and Retrieval Augmented Generation solutions. * Hands-on experience with Large Language Models (GPT, Claude). * Familiarity with GitHub Copilot. * Regular user of Agentic AI solutions and MCPs. * Deployment experience with Docker and Kubernetes. * Strong knowledge of Python libraries (NLTK, NumPy, Scikit-learn, Pandas). * Understanding of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means). * Experience with automated testing and test automation frameworks. * Good grasp of SQL. * Experience working in an Agile environment. * Excellent verbal and written communication skills. Preferred Skills: * Experience in building, training, and fine-tuning AIML models. * Front-end development experience using React. Qualifications: * Bachelor’s degree in Computer Science or a related field, or equivalent relevant experience. * Demonstrated experience in Data Science and AIML with a focus on quality assurance solutions.