Note: The job is a remote job and is open to candidates in USA. Oracle brings together data, infrastructure, applications, and expertise to power industry innovations and life-saving care through AI and cloud solutions. The Principal Machine Learning Engineer implements, productionizes, deploys, monitors, and integrates machine learning models while developing infrastructure, tools, and workflows that support model quality, scalability, security, and continuous improvement.
Responsibilities
- Utilizesmachine learning (ML) and software development knowledge to implement ML modelsfor production
- Engagesin transforming machine learning prototypes into production-ready models
- Collaborateswith multiple stakeholders, such as Development Leads, Product Management,Operations, and Release Management, to make, adopt, and communicate technicaldecisions, and shape the development and delivery of software
- EnsuresML model readiness for deployment by scaling models, cleaning model code, andensuring production quality standards are met
- Automatesmachine learning workflows, from data extraction, transformation, and loading(ETL) to model deployment and monitoring, to establish the continuousintegration and continuous delivery of machine learning solutions
- Createsinfrastructure and frameworks to monitor the performance and alignment withdesign criteria of trained models and/or systems
- Proactivelymonitors the performance of deployed models and troubleshoots independently orin collaboration with Data Science
- Developsnovel metrics that provide analytical insights to non-technical stakeholders onhow well machine learning models are operating
- Evaluatespotential issues related to data quality (e.g., bias, fairness), data security,and data privacy, and minimizes their impacts on data analyses and modeling
- Engagesin tasks such as data cleaning, preprocessing, and feature identification toprepare for and enable model training
- Collaborateswith multiple stakeholders (e.g., data scientists, software developers) tointegrate ML models into new or existing systems
- Maintainsthe partnership between model development and operations, ensuring smoothdeployment and continuous improvement of ML models
- Understandsoperational considerations of model deployment (e.g., performance, scalability,stability, maintenance)
- Providesexpert troubleshooting and debugging support, addresses issues in machinelearning infrastructure and workflow, and creates robust solutions to preventfuture problems
- Develops,maintains, and refines tools, platforms, environments, and services forinternal use
- Developsefficient, bug-free, medium-complexity code from scratch, and properlymaintains and organizes the existing codebase
- Implementsbest practices for version control, code review, and code delivery/deployment
- Buildsand maintains professional documentation for technical processes(experimentation, data collection and analyses, model building)
- Testsand reviews code for bugs
- Maintainsfamiliarity with current developments in the machine learning field andintegrates knowledge into model development
- Maintainsfamiliarity with the usage and development of third-party machine learningframeworks, packages, and libraries (e.g., PyTorch, TensorFlow, Keras) tocontinuously evaluate their performance and scalability, and integrate theminto production environments
- Managesand coordinates moderately complex tasks, monitoring timelines and deliverablesto ensure timely completion and adherence to requirements for a moderatelysized project or initiative
- Efficientlydelegates, monitors, and prioritizes work across multiple projects, providingtechnical oversight and adjusting plans to address shifts in resources ortimelines
- Collaboratesacross the organization to align on expectations and achieve shared objectives
- Leveragesunderstanding of business leaders, stakeholders, and/or customers to ensureproposed solutions meet their needs
- Supportsinclusivity by actively seeking and listening to diverse perspectives, ensuringothers feel heard and respected
- Identifiesand addresses moderately complex issues by analyzing a wide range of dataand/or information to identify solutions in accordance with standard practices
- Proactivelyescalates unresolved or critical issues with a thorough assessment and suggestspotential solutions
- Reviews,contributes to, and documents problem solving strategies
- Pursueslearning opportunities to expand knowledge and skills and/or tools in new areasand stays abreast of the latest industry trends and best practices
- Proactivelyseeks and leverages ongoing feedback and training to improve skills
- Coachesand mentors junior team members, fostering continuous learning and knowledgesharing within and across teams
- Developsideas, recommends updates, and/or collaborates on the implementation of processimprovements to increase the efficiency and effectiveness of processes,protocols, and workflows across teams, and evaluates the impact on keystakeholders
- Solicitsfeedback from others on ideas for alternative approaches and methods forcontinued improvement
- Contributesto the talent development pipeline by participating in candidate interviews,assessing candidates, and providing hiring recommendations
Benefits
- May be eligible for bonus, equity, and compensation deferral.
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
- 11 paid holidays
- Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance
Company Overview
Company H1B Sponsorship