Ai/Ml Engineer
Mphasis ·
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.