Principal AI Software Engineer

Job Summary: We are seeking a highly skilled Principal AI Software Engineer to join our dynamic team. The ideal candidate will have a strong background in AI/ML engineering, with a focus on implementing AI and machine learning solutions. This role requires proficiency in Python, SQL databases, REST APIs, and containerization technologies such as Docker. The successful candidate will also be familiar with Git workflows, Linux environments, object-oriented programming (OOP) design, and the basics of CI/CD processes.

• Design, develop, and implement AI and machine learning models to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Utilize Python for data manipulation, model training, and deployment of AI solutions.
• Manage and optimize SQL databases to ensure efficient data retrieval and storage.
• Develop and maintain RESTful APIs to facilitate communication between different software components.
• Implement containerization using Docker to streamline application deployment and scalability.
• Utilize Git workflows for version control and collaborative development.
• Work within Linux environments to deploy and manage applications effectively.
• Apply object-oriented design principles to create scalable and maintainable code.
• Participate in CI/CD processes to ensure smooth integration and delivery of software updates.
• Stay updated with the latest trends and advancements in AI/ML technologies.

• Proficiency in Python programming language.
• Strong understanding of AI/ML implementation techniques.
• Experience with SQL databases and data management.
• Knowledge of RESTful API development.
• Familiarity with Docker for containerization.
• Proficient in Git workflows for version control.
• Experience working in Linux environments.
• Solid understanding of object-oriented programming (OOP) design principles.
• Basic knowledge of CI/CD processes.

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of data visualization tools and techniques.
• Experience with Agile methodologies.
• Strong problem-solving skills and ability to work independently.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Strong analytical and critical thinking skills.
• Excellent communication and collaboration abilities.
• Passion for technology and continuous learning.

Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here.
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