Urgent! Sales - Machine Learning Engineer, Data Model Job Opening In Singapore, Singapore – Now Hiring Apple
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 an outstanding Senior Machine Learning Engineer to develop advanced predictive modeling that drive actionable business decisions and build AI-driven personalization systems to enhance user experiences.
You will apply innovative ML techniques, Generative AI, and Causal Inference Models to develop personalization and predictive models that extract meaningful insights from large-scale customer, market, and sales data.
This position provides a unique opportunity to work on real-world challenges at scale, influence critical business decisions, and innovate in the fields of predictive analytics, AI-driven personalization systems, and generative AI.
Description
In this role, you will collaborate with a multidisciplinary team of ML engineers, data scientists, software engineers, researchers, designers and business partners to design, build, and deploy high-impact models.
You will focus on the following key areas: - Deploy predictive models to generate actionable insights for business strategy and decision-making.
- Develop AI-driven personalization that provide tailored suggestions based on customer behavior, preferences, and historical data.
- Leverage user segmentation and clustering to enhance personalization precision for different customer groups.
- Experiment with multi-modal data (text, images, customer interactions) to improve personalization.
- Implement hybrid personalization models (Collaborative Filtering, Content-Based, Knowledge Graphs) to optimize user experiences.
- Build real-time personalization pipelines that can dynamically adjust based on live user interactions.
- Lead the exploration for predictive modeling of Large Language Models and Generative AI, Causal Inference Model, GNN, venturing into new areas within these fields.
- Turn prototypes into automated pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs.
building custom solutions or a hybrid approach.
- Analyze and preprocess large scale datasets to extract meaningful patterns and ensure model accuracy.
- Ongoing data analysis to build new or fine-tune existing models to optimize results.
- Partner closely with software engineers to implement these models into high-performing systems and models in our production environment that can be applied to create amazing experience for our worldwide audience.
- Actively engaging in all aspects of model development, from ideation, experimentation, triaging to deployment.
- Communicate results/reports with stakeholders.
- Maintain expertise in the latest advancements in AI technology.
Partnering with your team members to prepare presentations, papers, and patents for your inventions.
Minimum Qualifications
Preferred Qualifications
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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 17627 jobs in Singapore and 14624 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 is currently hiring and seeking a Sales Machine Learning Engineer, Data Model 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, Data Model 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 adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Sales Machine Learning Engineer, Data Model 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, Data Model 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.
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Before the Interview:To prepare for your Sales Machine Learning Engineer, Data Model interview at Apple, 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's products or services and be prepared to discuss how you can contribute to their success.
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