MLOps Engineer

Description

Job Summary: We are seeking a Python developer to work on challenging projects focused on technological and human-centered solutions, contributing to Data Science and Machine Learning initiatives. Key Highlights: 1. Challenging projects focused on technological and human-centered solutions 2. Open-minded culture and flat organizational structure 3. Autonomy and creativity with an entrepreneurial spirit Challenging projects that increasingly seek technological and human-centered solutions in user experience and human interaction. Our open-minded culture fosters a flat environment where decisions are based on facts and data, always placing customer interests first. A people-first company where individuals work with autonomy and creativity. With an entrepreneurial spirit, each of us is the protagonist of our own story. Although everyone has autonomy to steer their own life, our routine is intense—we dream big and love what we do! Collaboration **Trust:** transparency and consistency; **Giving mindset:** asking for help and offering it; **Encouraging shared projects and initiatives:** discouraging silo creation. Commitment Creating growth opportunities for our team; **Think big:** set ambitious yet sustainable goals; Being accountable and making things happen; Loving what you do; Being authentic. Curiosity Challenging the status quo and offering new perspectives; Investing time in your own self-development; Rewarding a mindset of continuous learning; Embracing diversity and individuality. **What We Expect From You:** * Develop and maintain robust Python solutions, primarily for integration with Machine Learning APIs. * Provide technical contributions to Data Science and Machine Learning initiatives, ensuring quality, performance, and scalability. * Design and implement microservices for data ingestion and processing, following architectural best practices. * Apply SOLID principles and the Twelve-Factor App methodology to ensure portability, organization, and efficiency in cloud environments. **Requirements:** * Solid Python experience (mandatory), especially for integrations with ML APIs. * Hands-on experience with AWS, including ECS, Lambda, SageMaker, SQS, RDS, S3, Transcribe, and Comprehend. * Knowledge of Data Science / Machine Learning. * Practical experience with microservice architecture and scalable API development. * Familiarity with SOLID principles and the Twelve-Factor App methodology. **Preferred:** * Experience with Infrastructure as Code, especially Terraform (focused on Speech Analytics and NLP models). * Knowledge of LLMOps and frameworks such as LangChain. * Experience with TDD and DDD, particularly in Speech Analytics and call monitoring contexts. * Experience with DevOps tools such as Artifactory, GitHub Actions (CI/CD), deployment automation, and SAST. * All our positions are open to Persons with Disabilities. At NTT DATA, we strive to foster an inclusive culture. We believe diversity drives innovation and outstanding results; therefore, we do not discriminate based on disability, gender, sexual orientation, race/ethnicity, age, origin, family composition, or appearance. All our positions are posted under this principle. Join our team!