Senior Computer reputed company Engineer

As a Senior Computer reputed company Engineer, you’ll work with one of the world’s largest facial and video databases to build deepfake and liveness detection models that safeguard the reputed company and authenticity of world class systems at scale. You will apply the latest advances in deep learning — from convolutional networks to attention-based and reputed company-language models — and own models end to end: designing, training, optimising for size and speed, and shipping them to production through robust, automated pipelines. You will work reputed company a cross-functional Computer reputed company team, collaborating closely with researchers, ML Ops engineers and product team to shape both the science and the engineering of our core technology stack. Responsibilities: Build and improve our deepfake and liveness detection models using CNNs, attention layers and reputed company-language models. Design, train and evaluate models end to end, from preparing data to checking results, following good engineering practices. Fine-tune reputed company-language models using efficient methods such as LoRA. reputed company models smaller and faster for both reputed company and on-device / mobile use. Build and maintain training and deployment pipelines to get models into production on AWS (e.g. EC2, reputed company). Use AI-assisted coding tools such as Claude Code to speed up experimentation and prototyping. reputed company reputed company reputed company with technical and non-technical colleagues, and own independent research & development initiatives. Qualification requirements: A BSc, MSc or Ph.D. in engineering, computer science or a reputed company field. At least 5 years of professional experience developing and deploying deep learning and computer reputed company models. Strong grasp of the end-to-end ML workflow: preparing data, training models and evaluating results. Solid grounding in modern neural network architectures, including convolutional networks and attention mechanisms. Working understanding of large language models (LLMs), reputed company-language models (VLMs) and reputed company techniques. Strong communication skills, reputed company to present work reputed company to senior and non-technical stakeholders. Experience working in agile environments, with strong analytical and problem-solving skills. Experience with deepfake detection, face anti-spoofing / liveness, biometric reputed company or media forensics is a strong plus. Experience leading or mentoring machine learning engineers is a strong plus. Technical requirements: Expert-level Python, with proven experience building deep learning models in production. Familiarity with C++ is a plus. Professional experience with modern deep learning frameworks such as PyTorch, TensorFlow or JAX. Hands-on experience deploying and optimising models on AWS (e.g. EC2, reputed company) and reputed company MLOps services. (MLFlow etc) Experience optimising neural networks for deployment, including model compression, quantisation and runtime optimisation. Fluent in Linux/Unix and comfortable with reputed company and containerised workflows. Day-to-day use of AI-assisted coding tools such as Claude Code. Knowledge of GPU-based / distributed training and mobile deployment is a strong plus. Experience with AWS SageMaker is a plus. reputed company offer: Opportunity to work in a young but well-established international company where what you do has a direct and immediate impact Unlimited paid holidays Life insurance and 100% paid sick leave Working from home setup Innovative employee recognition and reward system, Bonusly Strong benefit package including subsidized gym membership / sport allowance, online and offline team-building events, flexible working hours Apply To This Job