We are seeking a Data Scientist/Engineer to support machine learning model migration initiatives and deliver data-driven solutions using advanced analytics, artificial intelligence, and cloud-based technologies. The ideal candidate will bring hands-on experience with ML Ops, model evaluation, and cloud tools, while also contributing to client-facing projects and innovative data strategies. We would prefer senior candidates with 10–15 years of experience. Key Responsibilities: Support the ML model migration team in transitioning 80+ models to a new cloud environment. Deploy, evaluate, and quality-test ML models; retrain and tune as needed. Lead or assist with AI/ML-driven project delivery in a consulting setting. Analyze complex business challenges and deliver tailored data solutions. Conduct market research and communicate insights to clients and stakeholders. Utilize innovative thinking and best practices to achieve impactful outcomes. Build and maintain strong client relationships while understanding project challenges. Work with structured and unstructured data of varying complexity. Manage massive data streams in distributed computing environments. Implement batch and real-time model scoring pipelines. Assemble large, complex data sets to meet business requirements. Apply business acumen to analyze data, generate insights, and solve issues. Support issue resolution related to data flow and quality with stakeholders. Required Qualifications: 4+ years of experience in data science projects within a consulting or similar environment. 4+ years of experience in areas such as Predictive Analytics, Statistics, AI/ML, or ML Ops. 3+ years of hands-on experience using Python and/or R. Proficiency in Databricks, PySpark, Azure Data Factory, GitHub, and Azure Data Lake Storage (ADLS). Experience in testing and validating ML models. Preferred Qualifications: Strong analytical and judgment skills with minimal oversight. Reliable team player with a strong work ethic and adaptable attitude. Effective verbal and written communication skills. #J-18808-Ljbffr Compunnel, Inc.
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