Senior Data Scientist - Artificial Intelligence (Deep Learning)

Location: Atlanta, GA (Hybrid - 3 days in office, 2 days remote)About Saroe Inc.: Saroe Inc. is a leading technology solutions provider that partners with clients to deliver innovative and customized IT solutions. We are committed to helping businesses succeed through strategic technology initiatives, including AI, automation, cloud solutions, and software development. Our company is seeking a Senior Data Scientist for a high-impact role with one of our strategic partners. This is a fantastic opportunity to join a dynamic and fast-growing organization and make a meaningful impact on real-world AI applications.Summary: Saroe Inc. is looking for a Senior Data Scientist specializing in deep learning. This role will focus on applying deep learning to text and structured data, driving AI innovation, and solving complex business challenges. You’ll collaborate closely with cross-functional teams to build and implement cutting-edge models, mentoring junior team members, and leading AI-driven initiatives.Key Responsibilities:Lead the development and deployment of deep learning models for solving complex business problems.Collaborate with data engineers, developers, and domain experts to integrate models into production systems.Stay current on deep learning advancements and apply new techniques to enhance existing models.Mentor junior data scientists and contribute to the growth and development of the team.Communicate findings and technical concepts to non-technical stakeholders through clear and compelling presentations and reports.Qualifications:Master’s degree in Computer Science, Statistics, Mathematics, or a related field (required); Ph.D. preferred.3-5 years of experience in applying deep learning methods to text and structured data, including NLP and text classification.Expertise in machine learning, statistical modeling, and data mining.Strong programming skills in Python, with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.Experience working with big data tools (e.g., Spark) and cloud platforms (AWS, GCP, or Azure).Experience in designing large-scale data pipelines and working with CI/CD tools (e.g., Jenkins), and containerization technologies (Docker, Kubernetes).Strong verbal and written communication skills with the ability to explain complex ideas to non-technical audiences.Self-driven, results-oriented, and able to thrive in a fast-paced environment.