Machine Learning Engineer MLOps
1 week ago
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. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions or similar tools Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality Data science models testing, validation and tests automation Communicate with a team of data scientists, data engineers and architect, document the processes Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., Experience with Docker and Kubernetes, OpenShift Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc. Ability to understand tools used by data scientist and experience with software development and test automation 1+ years experience and knowledge in MLOps, in deploying, operationalizing, and maintaining scalable AI/ML-solutions in production.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 techniquesAdditional 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:
- You own the development and operationalization of solutions deployed in production. You work across multiple teams to integrate solutions with products owned by our Customers. You help design model experimentation processes and frameworks in synergy with our scientists. You help the team grow and cultivate best practices in software development, MLOps, and experimentation. Utilize Oracle's product stack for advanced ML model development and deployment. Manage end-to-end model lifecycle, from data collection to deployment. Collaborate with cross-functional teams for data-driven solution integration. Analyze data, extract insights, and drive informed decisions through teamwork. Explore emerging AI/ML technologies within Oracle for innovation. Enhance product functionality and user experience using AI techniques. Design and implement scalable data pipelines and workflows. Create and Optimize ML pipelines for various business applications. Ensure compliance with data security protocols throughout the lifecycle. Offer expertise in data management, analytics, and application development within Oracle, supporting the organization's growth and development.-
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