AI & Data Science Solutions Architect

 What Does Oracle’s Consulting Do:

The Oracle Consulting organization delivers custom IT solutions and specialized consulting services, supporting sales activities related to Oracle Cloud Services. Our experts are sought out for leading practices in Oracle Cloud, leveraging extensive experience from countless cloud implementations. If you’re an excellent communicator with a passion for empowering business innovation, this is your opportunity to stand out! We are looking for a committed AI Consultant to design and deliver next-generation solutions.

What You Will Do:

As an acknowledged authority within Oracle, you will work with a high level of autonomy to deliver success in strategic accounts, often playing the role of the engagement lead. You will lead projects and presales activities, guiding less senior team members. You will be responsible for the analysis and technical design of software solutions and will lead a team of engineers to develop and deliver these solutions.

You Will:

• Become a trusted technical advisor to customers, designing complex solutions including AI/ML components.
• Collaborate with customers to deliver tailored solutions that exceed their requirements, addressing both technical and non-technical aspects.
• Ensure deliverables meet Oracle’s high-quality standards.
• Identify AI/ML opportunities by understanding client business objectives.
• Design and develop advanced AI/ML models, algorithms, and solutions for complex business problems.
• Perform data exploration, feature engineering, and model selection to create robust predictive models.
• Develop and implement AI/ML models using Python or R, leveraging frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Conduct experiments, evaluate model performance, and refine models based on feedback.
• Work with cross-functional teams to integrate AI/ML solutions into production environments.
• Mentor junior team members, sharing best practices and fostering knowledge sharing.
• Stay updated on advancements in ML/AI techniques and recommend innovative solutions to clients.
• Communicate insights and recommendations clearly to clients, tailored to their technical understanding level.
• Assist customers in defining ML/AI strategies focused on Oracle products, both on-premise and in the Cloud.
• Create presentations to promote Oracle-based solutions to customers.
• Establish trusted advisor relationships with project and technology leaders.
• Use internal and external data sources to identify opportunities for business performance improvement.
• Manage the design, execution, and measurement of data initiatives requiring advanced automation.
• Apply data science and machine learning algorithms to solve client business problems.
• Resolve client business issues in industries such as steel, finance, insurance, telecom, and utilities through AI, machine learning, and automation.
• Ensure high-quality deliverables and provide guidance on implementing machine learning use cases.
• Review Oracle's new tools and methodologies for various data processes in analytics.
• Perform data analysis to identify patterns and insights that drive actionable recommendations for clients.

What You’ll Bring:

• Your enthusiasm, love, and passion for customer success will help us become the leading cloud service provider.
• The successful candidate will have the following qualifications:
• Master’s degree in a relevant field such as AI, Mathematics, Statistics, Computer Science, or a related discipline.
• Proficiency in English, both written and spoken.
• Excellent time management, organizational, and prioritization skills.
• Ability to maintain strategic perspective while handling complex and detailed work, delivering results within agreed timescales.
• Experience working collaboratively, including supporting and teaching team members.
• Decisiveness and the ability to assist clients in business and technical decision-making in a customer-facing role.
• Strong communication skills linking technologies and architectures to business outcomes.
• Analytical problem-solving approach using technology to address business challenges.
• Strong interpersonal skills with the ability to influence stakeholders at various levels.
• Innovative and creative thinking with attention to detail.
• 5+ years of experience in machine learning, statistical modeling, quantitative analysis, forecasting, data preprocessing, feature engineering ,and data visualization.
• 4+ years of professional experience in data processing with Python and SQL.
• Proficiency in ML/AI frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, spaCy, OpenCV, and Transformers (by Hugging Face). 
• Understanding of natural language processing concepts and related Python libraries.
• Knowledge of deep learning algorithms and neural networks like (CNN,RNN ..etc)
• Hands-on production experience in fine-tuning Attention-based models (especially PEFT Techniques like LoRA, T-Few ..etc).
• Hands-on production experience with Diffusion Models, GANs, and Variational Autoencoders.
• Hands-on production experience in deploying and utilizing LLMs (open-source and commercial).
• Experience in Retrieval Augment Generation (RAG) applications and indexing/semantic search in general, including the use of libraries like LangChain and Llama Index.
• Experience in Synthetic Data Generation tools and frameworks like SDV (Synthetic Data Vault)
• Knowledge of ML/DL Model deployment and MLOps Techniques. 
• Experience in training ML models and deploying scoring pipelines at scale, with tools like OCI Data Science and OCI AI services as an advantage.
• Experience in executing Transfer Learning for Pre-trained models.
• Knowledge of relevant tools OCI Streaming, Autonomous DB, MySQL Heatwave, and OIC is a plus.
• Understanding of Explainable AI.
• Experience with source control GIT.
• Experience in .Net/node.js/Java or web technologies is an added advantage.
• Experience in requirements analysis and project delivery methodology is advantageous.
• Functional knowledge of the Insurance, Telecom, Energy, and Banking industries is highly desirable.
• Relevant certifications in ML/AI or data science are a plus.
• Familiarity with cloud-based ML/AI platforms and services is a plus.

What We Offer:

A driver’s seat in leading your career. We provide the freedom, skills, tools, and technologies to shape your future. You’ll have access to immense learning experiences and support from Oracle’s resources. Our vibrant, dynamic, and inspiring international culture helps you reach your full potential.

Equal Opportunity:

At Oracle, we celebrate differences and believe that innovation starts with inclusion. We are committed to creating a workplace where all voices are heard and valued, fostering an environment where everyone can do their best work.

Career Level - IC4

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer