Applied Scientist

14 hours ago

Hyderabad Telangana, India Oracle Full time

Now, as we expand rapidly, we're channelling our expertise into transformative Generative AI solutions that promise to revolutionize healthcare for millions. Operating within a dynamic, agile environment, we enjoy strong backing from senior leadership and have a clear, impactful mission. Our close partnership with Oracle Cerner enables us to directly influence patient care on a massive scale, driving real change.

Career Level - IC4

**Responsibilities**:

- Partner with product managers to transform business and product visions into groundbreaking AI projects that push the boundaries of what’s possible in healthcare.
- Work alongside fellow technical leaders to ensure the seamless and timely delivery of sophisticated models, while ensuring their successful integration into our cutting-edge services.
- Coordinate with diverse, multinational teams to drive the projects from initial research and proof of concept to full-scale production, ensuring global impact.
- Design and review AI solutions with a focus on excellence, employing best practices for data management, model development, and evaluation to ensure the highest quality outcomes.
- Lead and mentor a talented team of both junior and senior applied scientists, fostering growth and nurturing the next generation of AI leaders.
- Develop production-level code while advocating for the best coding and engineering practices, ensuring robust and scalable AI solutions.
- Actively participate in project planning, review, and retrospective sessions, driving continuous improvement and strategic alignment.
- Identify potential risks at the critical intersection of business and engineering, and take proactive measures to ensure our plans and executions stay on track.

**Qualifications and Experience**:

- Deep technical knowledge of Machine Learning and Deep Learning architectures, such as Transformers, training methodologies, and optimization techniques.
- Hands-on experience with the latest advancements in Large Language Models (LLM) and generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and Agent technology.
- Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance, showcasing your ability to stay at the forefront of AI technology.
- Proven experience in designing data collection and annotation solutions, as well as systematic evaluation processes crucial for developing and maintaining high-quality production systems.
- A robust publication record, including lead authorship in top-tier journals or conferences, demonstrating thought leadership and a deep understanding of AI research.
- Proven experience in leading and mentoring both senior scientists and early-career researchers, fostering a collaborative and innovative team environment.

**Preferred Qualifications**:

- Familiarity with the latest advancements in computer vision and multimodal modelling is a valuable plus.

**Education**:

- A PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field, with a dissertation or final project focused on Machine Learning and Deep Learning, and 3+ years of relevant experience is preferred but not mandatory; OR
- A Master’s or Bachelor's degree in a related field with 5+ years of relevant experience is also considered.

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