Job highlights

- 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
- 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

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.

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