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- Job Title: Machine Learning Engineer
- Location: Bengaluru, Karnataka
- Company: Apple Inc.
- Qualifications: Doctoral degree/Master’s degree
- Experience: 4 Year’s
- Employment Type: Full Time
About Apple:
Apple Inc. Is a international leader in innovation and generation, consistently pushing the limits of what’s viable. Our products, offerings, and patron research redefine how humans interact with generation. We trust within the energy of bringing incredible ideas to existence and are pushed with the aid of the usage of a commitment to excellence and innovation. Join us, and assist us create the subsequent technology of groundbreaking generation at the way to make an enduring effect on the world.
Position overview: Machine Learning Engineer
We are searching for a professional and passionate Machine Learning Engineer to join in our dynamic and progressive team. In this feature, you will have the possibility to artwork on cutting-edge-day obligations that pressure the middle functionality of Apple’s merchandise. You will collaborate with pass-practical companies to format, increase, and installation system analyzing models and solutions that decorate the character enjoy, improve product overall performance, and remedy complex troubles.
Key Responsibilities:
- Model Development: Design, amplify, and implement system mastering fashions and algorithms tailored to precise product needs. This consists of facts preprocessing, feature engineering, training, validation, and optimization of models.
- Collaboration: Work carefully with software engineers, records scientists, product managers, and special stakeholders to understand task requirements and supply strong and scalable system mastering solutions.
- Data Management: Collect, easy, and look at big datasets to extract enormous insights and become privy to traits which could pressure commercial business enterprise choices. Ensure the integrity and super of data used for model schooling and assessment.
- Research and Innovation: Stay abreast of the present day tendencies in system gaining knowledge of and synthetic intelligence. Apply modern techniques and methodologies to enhance present fashions and expand new answers.
- Deployment and Maintenance: Develop and hold device analyzing pipelines and workflows. Deploy models into production environments, reveal their general performance, and iterate as critical to ensure reliability and accuracy.
- Performance Optimization: Optimize device learning fashions for overall performance and scalability. Identify bottlenecks and put into effect answers to decorate the rate and average performance of algorithms.
- Documentation: Maintain complete documentation of model architecture, procedures, and standard overall performance metrics. Ensure reproducibility and clarity inside the improvement method.
- Mentorship: Provide steerage and mentorship to junior engineers and organization contributors. Foster a collaborative and inclusive organization environment.
Qualifications, Skills, Experience:
- Educational Background: Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related area.
- Experience: Proven experience in developing and deploying system studying fashions in actual-global packages. Experience with big-scale facts processing and analytics.
- Technical Skills: Proficiency in programming languages collectively with Python, Java, or C++. Strong information of system studying frameworks and libraries (e.G., TensorFlow, PyTorch, Scikit-exami e).
- Mathematical Foundations: Solid understanding of statistical techniques, danger concept, and linear algebra. Ability to use those ideas to clear up complicated issues.
- Problem-Solving Skills: Demonstrated capability to suppose severely, troubleshoot issues, and growth creative answers to technical stressful situations.
- Communication: Excellent verbal and written communication competencies. Ability to deliver complex technical records to non-technical stakeholders.
- Team Player: Ability to work successfully in a collaborative group environment. Strong interpersonal abilities and a fantastic mind-set.
Preferred Qualifications:
- Experience with deep getting to know architectures (e.G., CNNs, RNNs, GANs) and their applications.
- Familiarity with large facts technology (e.G., Hadoop, Spark) and cloud structures (e.G., AWS, GCP, Azure).
- Knowledge of laptop imaginative and prescient, herbal language processing, or other specialized regions of machine gaining knowledge of.
- Experience with software improvement extremely good practices, including model manage (e.G., Git), code evaluation, and agile methodologies.
Why Apple?
At Apple, you may have the possibility to paintings with a number of the brightest minds in the agency on initiatives that make a incredible effect. We provide a aggressive revenue, complete advantages, and a life-style of innovation and non-stop reading. You might be a part of a business enterprise that values variety, inclusion, and personal growth.
How to Apply:
If you’re obsessed with tool getting to know and keen to make a contribution to Apple’s fulfillment, we encourage you to use. Please submit your resume and a cowl letter detailing your experience and why you’ll be a amazing healthful for this role.
Apple is an identical opportunity company that is devoted to inclusion and variety. We take affirmative movement to make sure equal possibility for all applicants regardless of race, colour, religion, sex, sexual orientation, gender identity, country wide foundation, disability, veteran reputation, or unique legally protected traits.
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