About the Role

We are seeking an experienced AI Technology Lead to drive the design, development, and deployment of cutting-edge Artificial Intelligence solutions, with a strong focus on Generative AI (GenAI), Large Language Models (LLMs), and AI Agents. This is a strategic, hands-on role requiring both deep technical expertise and cross-functional leadership capabilities.

As a Lead, you’ll collaborate with global teams, influence enterprise AI architecture, and play a critical role in the success of high-impact AI initiatives across industries. This role is suited for individuals who are passionate about innovation, building real-world AI applications, and mentoring high-performing teams.

This position is open only to candidates currently residing in the Philippines. We are not offering international relocation or visa sponsorship for this role.

Technical Skills:

Proven experience in productizing Gen AI /AI/ML/NLP/CV projects Experience in frameworks to depict the interpretability of models and MLOps. Extensive experience in managing model lifecycles, data management, analytics, and application development.  Good Understanding of mathematical aspects of Machine Learning such as cost function, gradient calculation, Derivatives, Convergence concept, exploding and diminishing gradient problems etc Practical understating of huge data handling in ML pipelines. Strong background in open-source tools such as Python, R, TensorFlow, PyTorch, scikit-learn, Pandas, NumPy, SciPy Apache Spark, SQL for database querying and manipulation, Good understanding to JSON and structure and parsing in Python, and Langchain Must have a good understanding of Large Language Models, RAG implementation and various opensource LLMs Good to have knowledge of deploying models on edge devices Good to have Experience with cloud platforms such as Oracle Cloud Infrastructure (OCI), AWS, or Azure. Design, develop, and train state-of-the-art AI/ML models including LLMs and AI agents for real-world applications. Serve as a technical mentor to a high-performing team of data scientists and engineers. Act as a bridge between technical teams and business stakeholders, driving AI adoption and solution alignment. Lead enterprise-grade AI architecture strategy and ensure security, compliance, and scalability across deployments. Identify new AI/ML use cases through go-to-market initiatives, demos, and stakeholder engagement. Champion Oracle’s GenAI initiatives in leadership forums, tech communities, and customer presentations. Publish research findings, conduct knowledge-sharing sessions, and drive internal best practices. Collaborate across application development, DevOps, multi-cloud infrastructure, and integration teams. Provide program oversight, technical governance, and estimation for AI-led solution design and delivery.

Key Competencies:

Ability to articulate complex technical concepts and solutions effectively to both technical and non-technical stakeholders. Strong problem-solving skills and the ability to translate business requirements into data-driven solutions. Excellent communication, collaboration, and teamwork abilities. Experience in presenting technical information to diverse audiences. Critical thinking and ability to support collaborative problem-solving in a team environment. Strong written and verbal communication skills for coordinating across teams Proven expertise in building, deploying, and optimizing LLMs and AI agents. Strong programming skills in Python, with experience using modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, LangChain). Deep understanding of ML concepts, NLP, transformers, prompt engineering, and fine-tuning techniques. Experience architecting solutions on cloud platforms – Oracle Cloud Infrastructure (OCI) preferred; AWS, Azure, or GCP also acceptable. Broad technical fluency across: Enterprise Architecture & Strategy Application Development & Security DevOps / Agile Delivery Practices Integration & Data Strategy Multi-cloud Deployments Familiarity with AI solution compliance, security policies, and model governance best practices. Strong communication skills with ability to engage C-suite stakeholders, present to leadership, and drive technical consensus

Key Programming Concepts:

Object-oriented programming principles Data structures and algorithms Error handling and debugging techniques Version control systems (e.g., Git)

Additional Skills (Desirable):

Familiarity with designing & deploying scalable digital web based applications.  Experience in multi-touch attribution, market mix modelling, fraud analytics, customer journey analysis, churn modelling, customer segmentation, hypothesis testing, A/B testing, and recommendation engines. Experience in designing, implementing, testing, and shipping production-quality AI/ML software  Experience with analytics, machine learning techniques, advanced analytics, and end-to-end pipelines using frameworks like Kubeflow.

Overall, the ideal candidate for the data scientist role at Oracle GSC should have a strong educational background, significant professional experience in data science and related fields, proficiency in relevant technical skills and tools, and key competencies in communication, problem-solving, and teamwork. Additionally, familiarity with specific industry domains and advanced techniques in AI/ML is desirable.

Evaluation Criteria:

- Proficiency in programming languages will be tested through coding exercises and technical interviews.

- Usecase presentations will be required to evaluate the candidate's ability to translate business problems into actionable insights and solutions.

- Demonstrated experience in deploying machine learning models and managing model lifecycles will be assessed through case studies and real-world scenarios.

Career Level - IC3