Senior Data Scientist

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 :- Strong proficiency in Python and libraries such as NumPy, Pandas, Matplotlib, and Seaborn.- Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.- Proven experience in building, deploying, and maintaining ML models in production environments.- Experience handling large-scale structured and unstructured datasets (e.g., video, text, clickstream).- Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures (CNNs, RNNs, Transformers, etc.).- Familiarity with data engineering tools and pipelines, including SQL, Spark, or Kafka.- Experience with model deployment using Docker, Kubernetes, or cloud ML services (AWS Sagemaker, GCP Vertex AI, or Azure ML).- Knowledge of MLOps principles, including experiment tracking (MLflow, Weights & Biases), CI/CD, and monitoring.- Strong analytical and problem-solving skills with the ability to translate data insights into actionable solutions.- Excellent communication skills and a collaborative mindset. (ref:hirist.tech)