Data Scientist / AI engineer

Position: Data Scientist / AI EngineerLocation: Atlanta, GA (Hybrid 3x in office)Employment Type: Contract-to-hireContract Duration: 6 months-1 yearThe Data Scientist is responsible for the design and development of advanced generative, recommender, and predictive models that will generate value creation. This role involves ensuring the performance and accuracy of solutions, staying abreast of the latest AI research and methodologies (particularly in the domains of natural language processing, predictive analytics, and information retrieval), as well as promoting and implementing data science best practices.ResponsibilitiesThought partner to the Head of AI and Product Manager at identify opportunities to unlock value in the industry by leveraging distinctive AI expertise (machine learning and generative AI) to drive business solutions.Lead the design, development, validation, and deployment of innovative, performant, and scalable AI engines, applying rigorous testing to ensure alignment with business objectives.Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.Apply A/B testing framework to test models' quality and integrate data insights into the business processes.Coordinate with different functional teams to implement models, design processes and tools to monitor and analyze model performance and data quality.Drive the AI methodology R&D agenda to ensure CLIENT continues to offer added value by best-in-class AI approaches in a fast-moving landscape.DomainExpertiseKey Skills:MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics or Mathematics or related technical discipline3+ years of deep applied expertise at developing and deploying complex AI/ML solutions, preferably in a financial services contextHeavy MS Azure Data Factory experience is a must.Strong and deep knowledge of a broad set of AI methodologies: Generative AI & Agentic AI, deep learning, natural language processing, supervised learning (classification, regression), reinforcement learningProficiency in Python is required together with multiple popular advanced analytics frameworks e.g. pandas, spark, scikit-learn, langchain, langchain, llamaindex, tensorflow, pytorchExperience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plusStrong applied understanding of MLOps / LLMOps best practiceExperience to merge and transform disparate internal & external data sets together to create inputs for AIAgile +Digital Experience:Openness to working in Agile environments with multiple stakeholdersStrong communication and collaboration skills to understand business partner needs and deliver solutionsIndividual SkillsProfessional attitude and service orientation; team playerQuick learner to business needs and translates them into potential analytics solutionsStrong analytical and problem-solving skills; healthy skepticism around the validity of data and its biasesGood verbal and written communication skillsMindset & BehaviorsExemplary organizational skills with attention to detail & accuracyAbility to coach, mentor, and collaborate with business partners, analysts, and team membersAttitude to thrive in a fast-paced environment, Open-minded to new approaches to learning