Data Scientist · Bengaluru

Key  Responsibilities

• Development of advanced AI models and algorithms, focusing on large language model, large multimodal, computer vision and foundation models.

• Design, implement and test the critical module/features of AI service that are correct, highly available, scalable, and cost-effective.

• Champion best practices for testing, benchmarking, and model validation to ensure reliability and performance.

• Analysis of ML models, and optimizing models for accuracy and latency.

• Large-scale training & production deployment with ML models.

• Own data analysis, feature engineering, technique selection & implementation, debugging, and maintenance of production model.

• Experience implementing machine learning algorithms or research papers from scratch to production.

• Work with large, complex data sets.

• Proactively identify the technical issues/bugs and provide innovative solutions.

• File patent and publication as by product of solving complex business problems

• Partner closely with product managers, engineering leads, and annotation/data teams to define requirements, data quality assurance and acceptance of data/annotation as required.

• Leverage Oracle Cloud technology.

Preferred Qualifications

• Ph.D. (preferred) or Master’s in Computer Science, Machine Learning, Computer Vision, or related field.

• PhD in computer vision or 2+ years of Experience designing, implementing and deploying computer vision models in production environments

• Expertise in GenAI, LLMs, LMMs, object detection, facial recognition, and image classification.

• Strong foundation in deep learning architectures such as CNNs, transformers, diffusion models, and multimodal models.

• Expert in at least one high level language such as Python/Java/C++

• Practical experience in ML algorithm design, model training and production deployment using microservices architecture

• Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure or similar technology.

• Experience or willingness to learn and work in Agile and iterative development processes.

• Strong drive to learn and master new technologies and techniques.

• Deep understanding of data structures, algorithms, and excellent problem-solving skills.

• You enjoy a fast-paced work environment.