The ML Data Associate II is accountable for dealing with and reading statistics to help machine studying tasks. Key duties include information series, preprocessing, and validation, as well as developing and imposing records pipelines. The role includes participating with facts scientists and engineers to make certain excellent information for version education and performance assessment, contributing to effective ML solutions.
- Job Title: ML Data Associate II
- Company: Amazon
- Degree: Bachelor’s degree
- Salary: ₹3.5-4.5Lacs P.A
- Location: Bangalore
- Experience: 1-3 years
About Company:
Amazon is an international e-trade giant, founded by Jeff Bezos in 1994, that began as an online book place and has, when you consider that diverse into diverse industries, along with cloud computing, artificial intelligence, and leisure. Known for its client-centric approach, Amazon offers an extensive array of merchandise, rapid shipping, and services like Amazon Prime. Its improvements in logistics, virtual services, and devices such as Alexa have made it a leader in worldwide commerce and generation. Amazon Web Services (AWS) powers a good deal of the net’s infrastructure.
Job Description of ML Data Associate II:
Amazon, ML Data Associate II is famed globally for its innovative strategies and groundbreaking improvements across numerous sectors, inclusive of e-trade, cloud computing, and artificial intelligence. One of its dynamic groups, the Bedrock crew, is currently looking for a rather motivated ML Data Associate II to enroll in them in Bangalore. This full-time, everlasting role offers a unique possibility to paintings at the leading edge of AI and device studying, especially inside the realm of natural language processing (NLP). ML Data Associate II function is properly desirable for individuals with a sturdy ardor for linguistics, communique, and records-related disciplines.
Key Responsibilities Of ML Data Associate II :
1. Data Annotation and Quality Assurance: You could be required to build a complete know-how of diverse annotation equipment and recommendations. Your primary challenge will involve annotating text information, in which you may want to pick out linguistic classes and ensure the quality of annotations. This role is vital for the correct schooling of AI fashions, which rely closely on first-rate, well-categorised information.
2. Collaboration and Problem-Solving: The function demands near collaboration with other machine-mastering stakeholders, together with ML Data Linguists (MLDL), Language Engineers (LEs), and Team Managers (TMs). You’ll be concerned with resolving facts, ambiguities, and disagreements in annotations. Additionally, you’ll take part in data generation and collection responsibilities, make contributions to procedure upgrades, and offer feedback to improve annotation gear and tactics.
3. Error Analysis and Process Improvement: A full-size part of your job will involve diving deep into the data to perform qualitative error trend analysis. You’ll be predicted to plot movement plans to enhance records excellently, contributing to the non-stop enhancement of Amazon’s AI structures.
4. Support and Consultation: You will assist in pre-screening interviews for prospective Data Associates, imparting aid and session. This will assist make sure that new team individuals are well-prepared to contribute to the group’s desires.
5. Innovation and Development: You may have the opportunity to collaborate on progressive strategies, such as tracker automation and workflows. You’ll work along LEs to offer special comments to annotators, supporting refine and optimize the version education strategies annotating text information, in which you may want to pick out linguistic classes and ensure the quality of annotations. This role is vital for the correct schooling of AI fashions, which rely closely on first-rate, well-categorised information.
Qualification needed for ML Data Associate II
To qualify for this position, you should have a Bachelor’s diploma in a relevant subject along with Linguistics, Communications, or other information-associated disciplines. At least 6 months of enjoyment with natural language information labeling, facts annotation, linguistic annotation, or different varieties of statistics markup is needed. This revel may also consist of teaching, which regularly includes linguistic skills and expertise in language processing. The ideal candidate might be adept at identifying linguistic ambiguity and correcting annotation inaccuracies, ensuring the very best kind of fact.
Benefits for ML Data Associate II
- Competitive Salary With performance-based bonuses.
- Cutting-edge Technology and access to advanced tools.
- Career Growth Through mentorship, training, and internal promotion opportunities.
- Diverse Projects across global teams and industries.
- Flexible Work Options including remote work and flexible hours.
- Comprehensive Benefits like health insurance, wellness programs, and stock options.
- Collaborative Environment with top-tier professionals in ML and AI.
- Learning Resources Through Amazon’s extensive training programs.
- Impactful Work on real-world problems with significant global impact.
What is the salary for ML Data Associate II?
At Amazon, the profits for an ML Data Associate II commonly degrees from ₹3.5–4.5 lakh per year,relying on elements along with region, enjoy, and qualifications. This role entails running with machine learning fashions by means of labeling and processing facts, in addition to participating with engineers to improve model overall performance. Amazon also gives extra benefits, including bonuses, stock options, and health coverage, that may in addition decorate the entire compensation package deal. As a key aid function inside Amazon’s AI and ML teams, this function offers growth possibilities in one of the global’s main tech companies.
How to Apply for ML Data Associate II Job?
To follow ML Data Associate II position, involved candidates can check in and get entry to the check link down. With 30 vacancies to be had, this role offers an aggressive salary package ranging from ₹3.5 to ₹ 4.5 Lacs P.A, making it an attractive possibility for qualified professionals within the field.
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