Data Scientist - Gen AI

BENGALURU, KARNATAKA, India

Oracle

Oracle offers a comprehensive and fully integrated stack of cloud applications and cloud platform services.

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An experienced consulting professional who has an understanding of solutions, industry best practices, multiple business processes or technology designs within a product/technology family. Operates independently to provide quality work products to an engagement. Performs varied and complex duties and tasks that need independent judgment, in order to implement Oracle products and technology to meet customer needs. Applies Oracle methodology, company procedures, and leading practices.

Technical Skills:

  • Must be in good practical understating of Data Structure
  • Build predictive statistical models or machine-learning algorithms as appropriate
  • Proficiency in AI, Machine Learning (ML), Computer Vision, RNN, and NLP (BERT) and Generative AI concepts and their practical applications.
  • Understanding of APM tools like Splunk/ELK/EFK/Kibana etc
  • 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.

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.

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.

 Diversity and Inclusion: An Oracle career can span industries, roles, Countries, and cultures, allowing you to flourish in new roles and innovate while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

To nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.

Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.

At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, and interview process, and in potential roles. to perform crucial job functions.

That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

Employer Description

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. 

Career Level - IC3

Operates independently to provide quality work products to an engagement. Performs varied and complex duties and tasks that need independent judgment, in order to implement Oracle products and technology to meet customer needs. Applies Oracle methodology, company procedures, and leading practices. Demonstrates expertise to deliver functional and technical solutions on moderately complex customer engagements. May act as the team lead on projects. Effectively consults with management of customer organizations. Participates in business development activities. Develops and configures detailed solutions for moderately complex projects.

Key Responsibilities:

  1. Utilize Oracle's product stack for advanced ML model development and deployment.
  2. Manage end-to-end model lifecycle, from data collection to deployment.
  3. Collaborate with cross-functional teams for data-driven solution integration.
  4. Analyze data, extract insights, and drive informed decisions through teamwork.
  5. Explore emerging AI/ML technologies within Oracle for innovation.
  6. Enhance product functionality and user experience using AI techniques.
  7. Design and implement scalable data pipelines and workflows.
  8. Create and Optimize ML pipelines for various business applications.
  9. Ensure compliance with data security protocols throughout the lifecycle.
  10. Offer expertise in data management, analytics, and application development within Oracle, supporting the organization's growth and development.

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: A/B testing AWS Azure BERT Computer Vision Consulting Data management Data pipelines ELK Generative AI Git JSON Kibana Kubeflow LangChain LLMs Machine Learning ML models MLOps NLP NumPy OOP Open Source Oracle Pandas Pipelines Python PyTorch R RNN Scikit-learn SciPy Security Spark Splunk SQL Statistics TensorFlow Testing

Perks/benefits: Career development Insurance

Region: Asia/Pacific
Country: India
Job stats:  2  1  0

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