Senior Applied Scientist
Senior Applied Scientist
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Job Description
About the job
Location: Bangalore
Career Level: IC3
Oracle Cloud Infrastructure (OCI) is at the forefront of cloud innovation blending the agility of a startup with the reliability of a leading enterprise software provider. Our AI Science team pioneers state-of-the-art machine learning solutions that empower customers and solve complex real-world problems at scale.
Were looking for an experienced Science (IC3)with deep hand-on experience in Generative AI and Computer Vision area to develop highly complex and accurate data science this role you will develop of secure scalable and innovative AI solutions leveraging cutting-edge techniques in computer vision Large multimodal models and other GenAI technologies.
As a Senior Applied Scientist you will develop and deploy state-of-the-art computer vision solutions leveraging generative AI technologies such as Large multimodal models and computer vision technologies such as image classification object detection vision grounding individual contributor(IC) role will build best-in-class computer vision solutions at scale.
is perfect for a hands-on data science architecture design and is eager to drive innovation and excellence in AI and computer vision area. You will partner with the Product and Engineering managers to influence strategic decisions drive experimentation and communicate results to higher managements. You will build best-in-class LLM/LMM/computer vision solutions for the Oracle business domain at scale. You will also partner with Product Management Data Labelling and Engineering teams to get to develop build best-in-class computer vision solutions at scale. The ideal candidate has extensive experience with computer vision techniques deep learning techniques model serving and a demonstrated ability to think strategicallyabout business product and technical challenges to contribute to the development of current and future vision services.
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.
Ph.D. (preferred) or Masters 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.
Responsibilities
Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms train models and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large complex data sets. Solve difficult non-routine analysis problems applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPIs. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas which may include efficient neural network development including quantization pruning compression and neural architecture search as well as novel differentiable compute primitives. May perform other duties as assigned.
Qualifications
Career Level - IC3
Required Experience:
Senior IC
Employment Type
Full-Time
