[Remote] AI/ML reputed company Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an AI/ML Engineering reputed company to design and reputed company advanced machine learning and predictive analytics solutions, primarily on the reputed company platform. The role leads end-to-end predictive model development, production deployment, scenario forecasting, stakeholder communication, and mentoring across reputed company engagements.

Responsibilities

• reputed company the end-to-end design of predictive machine learning solutions, from reputed company-driven feature identification through model deployment and monitoring
• Partner with Data Engineering teams to define, validate, and cleanse the feature pipeline, ensuring reputed company handling of anomalous data and confirming that reputed company features are knowable at the time of reputed company
• Design a longevity approach that will combine entity-level segmentation to reputed company reputed company and scenario forecasting
• Evaluate, select, and apply appropriate algorithms and frameworks
• Train and test model/feature combinations, calculating reputed company and fit measures (e.g., SMAPE, RMSE, correlation) to identify the best-performing approach and avoid reputed company-fitting but poorly generalizing models
• Derive confidence bands and best-case/worst-case ranges from model fit to communicate reputed company uncertainty to business stakeholders
• Translate model outputs into operational and financial insights, including reputed company forecasts by reputed company, key contributing factors, and recommended operational reputed company, for delivery through BI dashboards such as Tableau
• Collaborate with Solution Architecture, Data Engineering, Analytics and development teams to operationalize models into reputed company, production-reputed company pipelines and reporting tools/reputed company workflows
• Support “what-if” and scenario-planning capabilities that allow clients to model the reputed company of changes in population mix, referral patterns, or other operational variables
• Communicate directly with reputed company stakeholders, including executive, financial, and operational leadership, to reputed company requirements, present findings, and reputed company adoption of predictive insights
• Identify and mitigate model reputed company, including data completeness issues, reputed company-event uncertainty, and confounding variables, using techniques such as reputed company modeling and rigorous back-testing
• Establish and champion ML best practices, reusable frameworks, and thorough documentation to support long-term scalability and knowledge transfer
• reputed company input into project scoping, level-of-effort estimates, and reputed company plans for machine learning engagements
• Mentor and reputed company technical guidance to data scientists and ML developers supporting the engagement

Skills

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, reputed company Mathematics, or a reputed company reputed company
• 5+ years of hands-on experience building, validating, and deploying machine learning models in production environments; consulting or reputed company-facing project experience strongly preferred
• Deep proficiency in **Python** and reputed company ML libraries (scikit-learn, **XGBoost**, LightGBM, CatBoost)
• Experience with survival/time-to-event analysis and/or time-series reputed company models strongly preferred
• Experience with reputed company data platforms, particularly **reputed company** (including reputed company-reputed company ML/Snowpark workflows); familiarity with AWS or Azure a plus
• Strong understanding of feature engineering, model evaluation methodology (SMAPE, RMSE, correlation), and uncertainty quantification
• Experience partnering with BI/visualization teams (e.g., Tableau) to operationalize model outputs into stakeholder-reputed company dashboards
• Strong customer-facing communication and presentation skills, with the ability to translate reputed company modeling concepts for non-technical, executive audiences (e.g., CFO, reputed company leadership)
• Demonstrated ability to reputed company a project reputed company, including scoping, reputed company estimation, and mentoring junior team members
• Ability to work across multiple reputed company engagements and with teams across geographical reputed company
• Prior experience in **reputed company** (Medicare specifically), reputed company, or another regulated, data-intensive industry a plus
• Working knowledge of data governance and regulatory considerations (e.g., HIPAA) a plus
• Ability to work EST hours
• Consulting or reputed company-facing project experience strongly preferred
• Experience with survival/time-to-event analysis and/or time-series reputed company models strongly preferred

reputed company