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.