Amazon Job Opportunities: Amazon is hiring an Applied Scientist to work on system learning models, data analysis, and a set of rules improvement. The role involves designing and enforcing solutions, carrying out experiments, and contributing to innovative tasks. Ideal candidates may have strong analytical talents, experience in statistics technology, and talent in programming languages like Python.
- Job Role: Applied Scientist
- Company: Amazon
- Location: Bengaluru, Karnataka, India
- Salary: Not Disclosed
- Experience Required: 0 – 5 years
- Employment Type: Full-Time, Permanent
About Company:
Amazon is an international chief in e-trade, cloud computing, artificial intelligence, and digital streaming. Founded by Jeff Bezos in 1994, the agency has revolutionized the manner humans keep online, imparting the entirety from books to electronics, groceries, and more. With its giant infrastructure, Amazon Web Services (AWS) powers corporations internationally, even as its improvements in the smart era like Alexa preserve to form the future. Amazon’s customer-centric method, giant product variety, and current technology make it a dominant force inside the tech enterprise.
Amazon Job Opportunities Job Description:
Amazon seeks an Applied Scientist to develop and deploy advanced machine-learning solutions for India Consumer Businesses. The function includes building scalable ML models to remedy real-international problems like product tips, fraud detection, and facts optimization, impacting hundreds of thousands of clients. Responsibilities consist of facts evaluation, designing progressive fashions, and participating with past-practical groups. Candidates need to have know-how in systems gaining knowledge of, programming (Java, Python, C++), and huge-scale statistics structures. This function offers an exciting possibility to drive innovation in one of Amazon’s quickest-growing markets.
Key Responsibilities:
Machine Learning Solutions: Utilize gadget mastering and analytical strategies to create scalable solutions for complicated business problems.
Data Analysis: Analyze and extract applicable insights from Amazon’s extensive datasets to automate and optimize business procedures.
Model Development: Design, develop, compare, and deploy progressive and relatively scalable ML fashions that resolve key commercial enterprise challenges.
Collaboration with Engineering Teams: Work carefully with software program engineering teams to put into effect actual-time ML fashions, ensuring seamless integration and overall performance at scale.
Business Partnership: Collaborate with commercial enterprise companions to discover key issues and advise machines gaining knowledge of answers that align with strategic desires.
Scalable Processes: Establish scalable, efficient, and automated strategies for massive-scale data evaluation, version improvement, validation, and maintenance.
Leadership and Mentorship: Lead ML tasks and mentor different scientists and engineers within the software of gadget mastering techniques, fostering a tradition of innovation and excellence.
Model Implementation: Drive the implementation of big-scale, complex ML models in manufacturing environments, ensuring that they supply fees to the business.
Thought Leadership: Contribute to the development of new ML algorithms and procedures, and promote the adoption of modern-day techniques in the business enterprise.
Skills & Qualifications:
Education:
- UG: Any Graduate
- PG: Any Postgraduate (preferred)
Experience:
- 5+ years of experience in building machine learning models for business applications.
- Ph.D. or Master’s degree in Computer Science, Computational Engineering, Machine Learning, or a related field.
- Strong experience in developing machine learning models and algorithms, with a deep understanding of machine learning theory and practices.
Technical Skills:
- Proficiency in programming languages together with Java, C++, or Python.
- Experience with algorithms and data structures, numerical optimization, and data mining techniques.
- Expertise in high-performance computing, parallel and allotted computing, and managing huge-scale statistics.
- Strong heritage in records analysis and enjoy massive data technology (e.g., Hadoop, Spark).
- Familiarity with gear for model deployment, monitoring, and renovation in manufacturing environments.
Additional Skills:
- Proven track record of publishing patents or research papers in pinnacle-tier peer-reviewed meetings or journals.
- Experience in running with cloud systems including AWS, Google Cloud, or Azure is a plus.
- Strong hassle-fixing competencies and the potential to break down complex troubles into actionable steps.
- Excellent communication competencies, with the capacity to collaborate with go-purposeful teams and present complex technical principles to non-technical stakeholders.
- Ability to mentor junior scientists and engineers, fostering a revolutionary and collaborative environment.
Benefits at Amazon:
Competitive Salary and Bonuses: Amazon gives attractive reimbursement programs, which include performance-based total bonuses and stock alternatives.
Comprehensive Health Benefits: Employees get hold of clinical, dental, and imaginative and prescient insurance, at the side of mental health aid.
Paid Time Off (PTO): Generous holidays, ill days, and parental leave guidelines for wholesome work-lifestyle stability.
Career Development Opportunities: Amazon offers get right of entry to to schooling programs, mentorship, and sources for professional growth and advancement inside the company.
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