Senior Data Scientist - Deep Learning

About the Role :

We are looking for a Senior Data Scientist who is passionate about solving complex problems and thrives in a fast-paced, innovative environment. In this role, you will be at the forefront of developing, deploying, and optimizing machine learning and deep learning models that power Anokis cutting-edge video understanding and ad-tech solutions.

You will work across the entire machine learning lifecycle - from research and data exploration to production deployment and optimization. This role offers the opportunity to make a direct impact on our products and contribute to shaping the future of AI-driven contextual advertising.

At Anoki, we value ownership, initiative, and innovation. You will collaborate closely with cross-functional teams, including Engineering, Product, and Research, to design intelligent systems that enhance user experience and drive measurable business outcomes.

Key Responsibilities :

• Design, train, and fine-tune deep learning models to enhance Anokis video understanding system - improving video retrieval, object detection, and content classification.
• Develop predictive and recommendation models for ad targeting, audience segmentation, and bidding strategies using state-of-the-art machine learning and statistical techniques.
• Build and deploy end-to-end ML pipelines, ensuring scalability, robustness, and reproducibility in production environments.
• Work with large structured and unstructured datasets, including video, text, and user behavioral data.
• Perform data cleaning, feature extraction, and dimensionality reduction to optimize model performance.
• Collaborate with data engineering teams to improve data pipelines and ensure high-quality data availability.
• Evaluate model performance using appropriate metrics and A / B testing frameworks.
• Implement continuous model monitoring, retraining, and versioning following MLOps best practices.
• Identify bottlenecks in model inference and optimize for latency, accuracy, and cost efficiency.
• Explore and prototype novel architectures and transformer-based approaches for video and contextual understanding.
• Stay updated on the latest research in AI, ML, and deep learning, integrating relevant advances into Anokis systems.
• Present findings and recommendations to stakeholders and contribute to the long-term AI roadmap.
• Mentor junior data scientists and engineers, fostering a culture of continuous learning.
• Work cross-functionally with product managers, engineers, and analysts to align modeling efforts with business objectives.
• Champion data-driven decision-making throughout the organization.

Required Qualifications :

(ref : hirist.tech)