AI & Computer Vision-Lead
Actively Reviewing the ApplicationsProctortrack
Job Description
Please find the JD as mentioned below :
Company Name: Verificient Solutions Pvt. Ltd
Website: https://www.verificient.com/
About Us: -
Verificient Solutions Private Limited is a wholly owned subsidiary of Verificient Technologies, Inc., USA, a SaaS firm utilising biometrics, computer vision, and machine learning to deliver world-class solutions in continuous identity verification and digital remote monitoring. Weaving these advanced technologies together with user-centred design and award-winning customer service, our patented, automated approach pairs usability with accurate results and true scalability. Serving a variety of markets, including higher education, HR and recruitment, and remote labour-force management. Our solutions - Proctortrack, FreshHire, and RemoteDesk - are built to enable custom integrations and include configurable settings to meet each client’s unique needs. Verificient Technologies has powered biometric authentication and continuous identity verification for over one million sessions.
Our Solutions:
Digital Remote Proctoring Automated
Proctortrack™ is an identity verification and automated digital remote proctoring solution that helps institutions of higher education ensure the integrity of their high-stakes online assessments.
Proctortrack is a leading online proctoring platform that ensures exam integrity using advanced
AI technologies in video, image, and voice analytics. We continuously innovate to create
seamless, secure, and automated experiences for learners and institutions worldwide.
Product Link: https://proctortrack.com/
Department: AI & Computer Vision
Experience:
- Computer Vision – 3-7 Years
- Python – 3 Years
- Deep Learning – 3 Years
Location: Pune, India (Remote/Hybrid)
Reports To: CTO / CEO
Key Responsibilities
- AI/ML Development
- Design, develop, and fine-tune machine learning and deep learning models for video, image, and voice analysis.
- Work on real-time inference pipelines for multimodal AI systems (face/voice/behavior detection, event classification, etc.).
- Evaluate, benchmark, and optimize models for accuracy, latency, and efficiency across edge and cloud environments.
MLOps & Automation
- Own the end-to-end ML lifecycle: data ingestion, model training, evaluation, deployment, monitoring, and retraining.
- Build and manage MLOps pipelines using modern frameworks (e.g., Kubeflow, MLflow, Airflow, Vertex AI, SageMaker, or similar).
- Leverage AI for automated workflows enabling intelligent decision-making, scalable model retraining, and continuous improvement.
System Integration
- Collaborate with backend and DevOps teams to integrate ML models into Django-based web applications and Mobile applications.
- Ensure smooth model serving, versioning, and scalability within the product ecosystem.
- Contribute to API design and architecture reviews to enhance system reliability and performance.
Research & Innovation
- Stay updated on the latest AI frameworks (e.g., PyTorch, TensorFlow, OpenAI, Hugging Face, LangChain, Whisper, CLIP, etc.).
- Prototype and evaluate state-of-the-art models for practical deployment in proctoring and remote assessment scenarios.
- Drive innovation to enhance user experience, reduce manual intervention, and increase automation across operations.
Required Skills & Qualifications
- Strong hands-on expertise in Python and modern ML frameworks (PyTorch, TensorFlow, OpenCV, Transformers, etc.)
- Proven experience in developing models for computer vision (video/image), voice/audio processing, and natural language understanding
- Solid understanding of MLOps principles, including CI/CD for ML, model versioning, and monitoring
- Proficiency with cloud platforms (GCP, AWS, or Azure) and containerization tools (Docker, Kubernetes)
- Familiarity with Django web framework, REST APIs, Celery, Redis, and microservice architectures
- Strong foundation in data pipelines, distributed processing, and model performance optimization
- Ability to conceptualize and implement automated AI-driven workflows that improve team efficiency
- Excellent problem-solving, analytical, and communication skills
- Prior experience in EdTech, AI-based surveillance, or remote proctoring is a plus
Preferred Qualifications
- Experience integrating AI pipelines with FastAPI/Django backends
- Familiarity with LangChain / RAG / LLM fine-tuning for intelligent assistants
- Exposure to audio/video streaming and analysis frameworks (FFmpeg, GStreamer, WebRTC)
- Knowledge of ethical AI, bias mitigation, and data privacy best practices
What We Offer
- Opportunity to lead high-impact AI initiatives in a globally used product
- Work with a multidisciplinary team across AI, backend, and product domains
- Competitive compensation, performance-based incentives, and growth opportunities
- A culture that values innovation, responsibility, and continuous learning
- Flexible working hours and remote work options.
Required Skills
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