Hi. My name is Nani, Technosphere Inc. I am reaching out to you on an exciting job opportunity with one of our clients. Job Title: Machine Learning Engineer Job Type: Contract work Location: Dallas, TX or Jersey City, NJ (preferred, onsite) Job Description The Compute Network Storage(CNS) group, within Global Technology Infrastructure (GTI) is responsible for defining, developing and operating cloud products consumed by our Application Development Partners across the firm. Our Product Portfolio includes Private and Public Cloud Platforms and a wide range of services such as databases, messaging and telemetry. As a Machine Learning Engineer within the Network team, you will play a pivotal role in designing, developing, and maintaining software solutions that integrate AI/ML capabilities to address complex business challenges, with a special focus on automation. This position provides an exciting platform to utilize your software engineering skills, ML Engineering, and DevOps expertise to significantly impact global business. You will collaborate with cross-functional teams to build robust, scalable, and efficient software systems. Working with an inspiring and curious team of technologists Required qualifications, capabilities and skills: Bachelor’s degree in Computer Science or equivalent practical experience. Strong experience working with multiple technology teams in a matrixed organization 5+ years of building orchestration and automation focused on enterprise networks 5 + years of experience as a software developer with a focus on integrating AI/ML solutions. Strong programming skills in Python, with experience in developing and maintaining production-level code. Experience with application architecture and design patterns. Proficiency in working with large datasets and data preprocessing. Solid understanding of AI/ML algorithms and techniques, including deep learning and natural language processing. Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras. Experience with cloud platforms, such as AWS or Azure, for deploying and scaling software applications. Thanks and Regards NANI Email: Nani.venu@technosphere.com