**Introduction** A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. **Your role and responsibilities** Are you an expert in transforming data into intelligent solutions and want to be part of a team at the forefront of technological innovation? We're looking for a Full/Senior Machine Learning professional to boost our AI ecosystem and contribute to high-impact projects! What will you do? - Develop robust solutions in Python, applying software testing practices, DDD (Domain-Driven Design), TDD (Test-Driven Development) and OOP (Object-Oriented Programming). - Designing and implementing relational, non-relational and vector databases, ensuring scalability and performance. - Working with big data concepts, manipulating large volumes of information to feed machine learning models. - Building CI/CD architectures for ML solutions, automating delivery pipelines and continuous integration. - Implement Infra as a Code and scalable architectures for AWS solutions. - Using containers (Docker) and version control (Git) to ensure efficiency and collaboration in development. - Develop and optimize machine learning models, applying modern artificial intelligence techniques. - Working in agile methodologies, promoting collaboration, continuous delivery and constant process improvement. **Required technical and professional expertise** '- Solid experience in Python development and machine learning frameworks. - Proficiency in relational, non-relational and vector databases. - Advanced knowledge of big data and architecture of CI/CD solutions for ML. - Experience with infrastructure as code and AWS architecture. - Experience with containers (Docker) and Git. - Experience with agile methodologies. - Ability to work in a team and solve complex problems. **Preferred technical and professional experience** '- Cloud (AWS) or machine learning certifications. - Experience with NLP, Computer Vision or Reinforcement Learning. - Participation in open source projects or AI competitions. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.