Machine Learning Engineer

Job Title: Machine Learning Engineer

Company: Atna.ai

Location: Chennai (Hybrid) / Remote

Experience: 36 years

Type: Full-time

Company Overview:

We are supporting Atna.ai in hiring, it is building an AI platform focused on detecting deepfakes, document tampering, and synthetic fraud across digital ecosystems.

As generative AI becomes more powerful, verifying the authenticity of digital content is becoming critical for enterprises, financial institutions, and governments.

Our mission is to build advanced machine learning systems that can detect manipulated documents, AI-generated images, and synthetic identities at scale.

We are a small, highly technical team solving one of the most important AI security problems of this decade.

Role Overview:

We are looking for a Machine Learning Engineer with strong experience in computer vision and deep learning to help build next-generation AI systems for detecting manipulated media.

You will work closely with the founding team to design, train, and deploy models capable of detecting

This role involves a mix of research, experimentation, and production ML engineering.

What youll work on:

• Building ML models to detect deepfakes and synthetic media
• Developing algorithms for document tampering and image forensics
• Designing pipelines for data processing, feature extraction, and model training
• Experimenting with state-of-the-art deep learning architectures
• Improving model robustness against adversarial manipulation
• Deploying models as production-ready APIs or microservices
• Optimizing models for performance and latency

Technical Skills:

• Strong programming skills in Python
• Experience with PyTorch or TensorFlow
• Strong understanding of deep learning and neural networks
• Experience with computer vision / image processing

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• Familiarity with tools such as OpenCV, NumPy, Pandas

Machine Learning:

• Training and evaluating deep learning models
• Feature engineering and data preprocessing
• Model optimization and experimentation

Engineering:

• Experience building production ML pipelines
• Familiarity with Docker, APIs, and cloud environments

Nice to have:

• Experience with deepfake detection or media forensics
• Experience working with GANs or diffusion models
• Background in computer vision research
• Publications or projects related to CVPR / ICCV / NeurIPS
• Experience working with large-scale image datasets