استخدام مهندس تحلیل داده(دورکاری)
شرح موقعیت شغلی
Our company in the field of engineering, data intelligence, and AI-driven diagnostics, is seeking a highly skilled Mechanical / Signal Processing Engineer specializing in condition monitoring and profilometry analysis. The candidate will work on advanced sensor-based diagnostics, surface analysis, and fault detection in mechanical systems using signal processing, AI models and engineering-driven methodologies. If you are passionate about applying deep technical expertise to real-world industrial challenges and want to contribute to an international, engineering-focused environment, this role is ideal for you.
Responsibilities
- Develop signal-processing algorithms for time-series and spatial profile data (FFT, filtering, spectral analysis, envelope detection, trend decomposition)
- Build and validate alarm/threshold logic and event-detection rules for actionable maintenance triggers
- Integrate multi-sensor inputs and fuse them into consolidated condition metrics
- Evaluate ML or hybrid (rule , ML) approaches for anomaly detection and propose production steps
- Validate sensor quality, calibration checks, and data lineage for each KPI
- Support root-cause investigations, and help refine KPI definitions
- Collaborate closely with the Machine Vision team: consuming their extracted variables and providing feedback to improve measurement quality and metadata
- Identify and investigate data anomalies, inconsistencies, and quality issues
- Prepare clear documentation, analytical reports, and summaries for internal teams
Requirements
- Bachelor’s or higher in Mechanical Engineering, Electrical Engineering, Mechatronics, Signal Processing, or related fields
- Strong background in mathematics & signal processing (time and frequency domain): filtering, FFT/PSD, envelope analysis, cross-correlation
- Proficiency in Python and signal/array libraries (NumPy, SciPy)
- Ability to recognize patterns, interpret sensor behavior, and extract meaningful insights
- Strong documentation, organization, and task-tracking skills
- Ability to work independently while collaborating effectively with technical teams
- Professional English proficiency (upper-intermediate or higher), with the ability to read and fully comprehend technical documentation, research papers, and standards, and to prepare clear technical reports when required
- Strong intellectual curiosity and proactive learning mindset, with the ability to rapidly adapt, independently acquire new domain knowledge, and integrate emerging technologies and AI advancements into diagnostic and signal-processing practices.
Preferred Qualifications (Nice-to-have)
- Familiarity with fault diagnosis and fault detection
- Experience with engineering or sensor datasets (acceleration, vibration, video profiling, etc.) and extracting diagnostic features from them
- Understanding of signal-quality metrics, trend analysis, or event detection
- Experience with accelerometer/vibration analysis and condition monitoring toolchains
- Practical experience with profilometry, point-clouds, laser scanner data, or precision mechanical measurement workflows
- Experience with MATLAB
- Experience with AI & machine learning workflows
- Basic experience with computer vision; (helpful for cross-team discussions, but not required)
Personal & Ethical Qualities
- Teamwork spirit and cross-functional communication skills
- Desire to grow, learn, and take ownership of tasks
- Organization and responsibility in task execution with strong time-management and task prioritization skills
- Systems thinking and the ability to understand complex, multi-component engineering workflows
- Clear technical presentation and reporting capabilities
- Analytical mindset and problem-solving attitude
- Commitment, perseverance, and attention to detail
- Creative thinker capable of generating value-added insights and new features from data
Working Conditions
- position (Full-time (preferred) — Part-time negotiable based on alignment)
- Working days: Sunday to Thursday
- Working hours: Flexible schedule based on project needs
- Type of employment: Remote
مهارتهای مورد نیاز
- Data Analysis
- Data science
- MATLAB
- fft
حداقل سابقه کار
- مهم نیست
جنسیت
- مهم نیست
وضعیت نظام وظیفه
- مهم نیست