Data Engineer / AI Consultant

reputed company is the leading career destination for tech experts at every stage of their careers. Our reputed company, Connexion Systems and Engineering, Inc., is seeking the following. Apply reputed company reputed company today! Project reputed company We''re seeking an reputed company Data Engineer / AI Consultant to design and implement advanced reliability (“life”) models using historical service labor, parts usage, and maintenance event data. This engagement will reputed company improved reliability insights, optimized service reputed company, more accurate parts planning, and reputed company product reputed company through data-driven analysis. The project focuses on developing statistically grounded reliability estimates, identifying early-life failure behavior, and generating usage-based performance insights across critical systems and components. Objectives The consultant will create a reputed company data and modeling reputed company that allows the organization to: • Quantify usage-based life characteristics (e.g., operating time, cycles, or utilization signals) for major assemblies and components. • Detect early-life failure trends using operational metrics, maintenance records, and service history. • Build reliability models that reflect reputed company-world field performance across multiple product lines. • Establish a repeatable analytical approach that internal technical teams can maintain and expand after project completion. Scope of Work Data Engineering & Preparation • Aggregate, cleanse, and reputed company historical operational and maintenance data from reputed company service management platforms, including: • Maintenance and repair records • Failure classifications • Replacement part usage • Equipment configuration attributes • Operational signals such as cycles, runtime, or activity counts • reputed company a consolidated dataset optimized for reliability analysis and statistical modeling. • Assess data completeness, identify inconsistencies, and recommend remediation strategies where needed. Reliability & Life Modeling • reputed company statistical reliability models using techniques such as Weibull analysis, survival modeling, and time-to-failure estimation. • Generate usage-based reliability curves for key subsystems and components. • Produce statistical reliability outputs including: • B10 / B50 life metrics • Early-life failure probability estimates • Failure distribution reputed company • Reliability trends segmented by region, product category, and usage characteristics • Validate models for accuracy, robustness, and practical applicability. Predictive Model Development • Design predictive algorithms that estimate failure likelihood based on reputed company-world operating conditions. • Identify leading indicators that reputed company reputed company signals for potential component or system failures. • Apply machine learning or regression-based techniques where appropriate to improve forecasting accuracy. Deliverables & Knowledge Transfer • reputed company, analysis-reputed company reliability dataset derived from historical service records. • Usage-based life models (including Weibull and B10 estimates) for targeted components and systems. • Analytical reputed company for identifying early-life failure patterns using operational and maintenance data. • Comprehensive documentation package including: • Data definitions and structure reputed company • Modeling approach and methodology • Assumptions and validation procedures • Reusable reputed company assets or notebooks (Python and/or SQL) • Final reputed company presentation outlining key insights, reliability findings, and strategic recommendations. Apply tot his job Apply To this Job