Job Title
Face Recognition Engineer HRMS & HRIS
Location:
Remote / Onsite (Flexible)
Employment Type: Full-time - INTERN
About Unified Consultancy Services
Unified Consultancy Services is a next-gen technology and consulting company specializing in AI, automation, and enterprise digital transformation. We are building cutting-edge solutions in HRMS (Human Resource Management Systems) and HRIS (Human Resource Information Systems) with integrated AI-driven face recognition for secure, seamless, and efficient workforce management.
Role Overview
We are seeking a skilled
Face Recognition Engineer with expertise in
OpenCV, Python, and AI/ML-based biometric systems to design, develop, and integrate face recognition modules into our
HRMS & HRIS platforms. The role involves working closely with product and engineering teams to deliver robust, scalable, and secure identity verification and attendance-tracking systems.
Key Responsibilities
- Design and implement face recognition algorithms using OpenCV, Python, and deep learning frameworks.
- Develop and optimize real-time face detection, verification, and recognition pipelines.
- Integrate biometric authentication into HRMS & HRIS applications (attendance, KYC, employee login).
- Ensure high accuracy, performance, and security in biometric verification.
- Research and apply state-of-the-art computer vision techniques for face recognition.
- Collaborate with backend developers to integrate APIs with enterprise HR platforms.
- Conduct testing, debugging, and performance tuning for biometric modules.
- Stay updated with AI, computer vision, and HR technology trends.
Required Skills & Qualifications
- Bachelor's/Master's degree in Computer Science, AI, Data Science, or related field.
- Strong hands-on experience with OpenCV, Python, NumPy, Pandas, and Scikit-learn.
- Proficiency in deep learning frameworks (TensorFlow, Keras, or PyTorch).
- Experience with face detection, recognition, and liveness detection algorithms.
- Knowledge of HRMS & HRIS systems and how biometric modules integrate.
- Familiarity with REST APIs, cloud deployment (AWS, Azure, GCP).
- Strong understanding of data privacy, GDPR, and biometric security standards.
- Excellent problem-solving skills and ability to work in an agile team.
Preferred Skills (Good To Have)
- Experience in edge AI deployment (Raspberry Pi, Jetson Nano, mobile apps).
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
- Knowledge of employee lifecycle management systems (HRIS/HRMS workflows).
- Previous experience with enterprise-scale biometric attendance systems.
What We Offer
- Opportunity to work on cutting-edge AI in HR tech.
- Collaborative and innovation-driven environment.
- Career growth with exposure to AI, HRMS, HRIS, and enterprise security.
- Competitive salary and performance-based incentives.
