Collaborates with science, engineering, and product teams to identify business and product needs, and contributes to the identification of solutions to address product and/or business problems. Contributes to end-to-end applied research: surveying state of the art, preparing high-quality datasets, running POCs/experiments, and designing, training, and optimizing ML/AI models and solution architectures. Performs tasks to deliver and deploy solutions into production. Participates in the research community by publishing and presenting research findings.

Key Responsibilities
Solution Identification:
-Collaborates with science, engineering, and product teams to identify business and product needs for machine learning (ML) and/or artificial intelligence (AI) solutions.
-Contributes to literature reviews and state-of-the-art analyses to understand the problem that needs to be solved.
-Contributes to the identification of solutions based on the scientific process (e.g., including modeling approaches, evaluation techniques, data collections).
Solution Development - Applied Research:
-Contributes to the development and piloting of research proofs-of-concept (POCs) or research experiments.
-Identifies datasets to be included in applied research. Reviews and prepares data to ensure high quality data is leveraged with minimal guidance.
-Contributes to research on new theories, tools, and methodologies to transfer and apply state-of-the-art technologies into products and services.
Solution Development:
-Develops ML and AI technologies, such as model training/fine-tuning and computation optimizations.
-Contributes meaningfully to the design of the architecture of ML and AI solutions, such as data, model, training, and evaluation, employing best practices.
Solution Development - Articulating Research Insights:
-Under guidance,



identifies meaningful insights from data and metadata sources from analysis and experiments.
-Interprets and communicates insights and findings to team.
-Participates in the creation of patents, white papers, or other technical documentation related to applied research outcomes.
Solution Delivery - Coding and Documentation:
-Contributes to the development of effective, bug-free, low-complexity code from scratch and properly maintains and organizes the existing codebase.
-Adheres to best practices for version control, code review, and continuous integration in machine learning projects.
-Updates and maintains professional documentation for technical processes (experimentation, data collection and analyses, model building).
Solution Delivery:
-Performs delegated tasks with limited guidance to contribute to the delivery of ML/AI solutions and integration of services.
-Participates in collaboration with software engineers and/or machine learning engineers to deploy solutions into production environments.
-Participates in the peer review of solutions prior to delivery.
-Collaborates with operational teams to evaluate and monitor solutions in production.
Building Research Capability - Research Excellence:
-Develops comprehensive knowledge in at least one business-critical applied research technology area.
-Follows guidance to apply domain knowledge and industry best practices to applied research.
Building Research Capability - Research Community Presence:




-Leads the publication and presentation of research findings and papers in conferences, research and industry outlets, etc.
-Participates in the scientific community by providing peer review and feedback.

Core Responsibilities
Planning & Execution:
-Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements.
-Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency.
Collaboration & Partnership:
-Collaborates across teams to align on expectations and achieve shared objectives.
-Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships.
-Actively listens to diverse perspectives and asks questions to ensure understanding of others.
Problem Solving:
-Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate.
-Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors.
-Contributes to knowledge sharing and best practices.
Continuous Learning:
-Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices.
-Seeks out and leverages feedback and training to improve skills.
-Contributes to a culture of continuous learning and knowledge sharing with team members.
Continuous Improvement:
-Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team.
-Seeks input from team members on alternative approaches and methods for improving work.

Career Level - IC3

📌 Senior Applied Scientist (Bengaluru)
🏢 Oracle
📍 Bengaluru