- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Sales Machine Learning Engineer, AIOps.
Urgent! Sales - Machine Learning Engineer, AIOps Job Opening In Singapore, Singapore – Now Hiring Apple Inc.
Sales - Machine Learning Engineer, AIOps
Imagine what you could do here.
At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly.
Bring passion and dedication to your job and there’s no telling what you could accomplish!Why Apple?At Apple, we believe our products begin with our people.
By hiring a diverse team we drive creative thought.
By giving that team everything they need we drive innovation.
By hiring incredible engineers we drive precision.
And through our collaborative process we build memorable experiences for our customers!We are looking for a highly skilled and experienced AIOps Machine Learning Engineer who has a robust understanding of Large Language Models and Generative AI to help work on exciting technologies for future Apple products and bring it to live.
In this role, you will join a team of machine learning engineers with different specialization to discover and build solutions to previously-unsolved challenges and push the state of the art for global audience.You will collaborate with multi-functional teams of business SMEs, engineers, data scientists, designers, and researchers.
This role is exceptionally technical, and will require you to actively engage in all aspects of the work, from conceptualization and theoretical considerations to design, coding, and implementation.
Description
In this role, you will focus on the following key areas:Model Management: Oversee the deployment, maintenance, and scaling of LLM, and services within our consumer-facing products.CI/CD: Build and maintain CI/CD pipelines to automate model train/test/deployment and scaling.Collaborative Integration: Partner with product developers, UX designers, and data scientists to ensure a seamless and intuitive integration of language models into our products.Continuous Monitoring: Build Dashboard and Regularly track model performance, ensuring consistent accuracy and reliability for consumers.
Set up alerts and manage the type of monitoring needed.Feedback Integration: Develop strategies for collecting user feedback and refining the model for better alignment with consumer needs.Bias Mitigation: Proactively address and reduce potential biases in model predictions, ensuring our products are inclusive and fair.Infrastructure Management: Design and implement efficient data pipelines to support large language model training and inferenceDocumentation: Maintain comprehensive documentation covering model versions, deployment protocols, and performance metrics.Research & Development: Stay updated with the latest trends in large language models and MLOps, ensuring our consumer products remain at the forefront of innovation.
Minimum Qualifications
M.S. in related field with 3+ years experience applying AIOps machine learning engineer to real business problems.
Language Model Expertise: Demonstrated experience working with large language models, such as OpenAI's GPT series or similar.
MLOps Skills: Solid background in Automating ML pipeline, including the training, testing, deployment, monitoring, and scaling of AI models.
Technical Toolkit: Proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
Product-Centric Mindset: Proven track record of integrating AI models into consumer products, enhancing functionality, and user experience.
Preferred Qualifications
Communication Prowess: Excellent communication skills, with the ability to liaise between technical and non-technical teams.
Collaborative Spirit: Experience in cross-functional teams, ensuring seamless product development.
#J-18808-Ljbffr
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Sales Machine Potential: Insight & Career Growth Guide
Real-time Sales Machine Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Sales Machine in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 19796 jobs in Singapore and 16841 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Sales Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple Inc. is currently hiring and seeking a Sales Machine Learning Engineer, AIOps to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Sales Machine Learning Engineer, AIOps Jobs Singapore.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple Inc. adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sales Machine Learning Engineer, AIOps Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Sales Machine Learning Engineer, AIOps typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Sales Machine Learning Engineer, AIOps, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Sales Machine Learning Engineer, AIOps interview at Apple Inc., research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple Inc.'s products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Sales Machine Learning Engineer, AIOps is easy with Singapore Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!