Job Role: ML Data Associate
Salary : ₹ 3.5-4.5 Lacs P.A.
Location: Bengaluru
Company: Amazon
Qualification: Any Graduate
Experience: 1 to 3 year(s) of experience
ABOUT AMAZON
Amazon, based through Jeff Bezos in 1994, is an international leader in e-commerce and cloud computing. Initially released as an internet bookplace, Amazon has seen that vary into diverse sectors, which include electronics, clothing, and groceries, turning into a one-prevent save for millions of clients international. The company is famend for its progressive method, with offerings like Amazon Prime imparting rapid delivery, streaming, and extraordinary content material.
Amazon Web Services (AWS), its cloud computing division, is a first-rate player inside the tech enterprise, imparting scalable and price-effective cloud solutions to groups. With a commitment to consumer pride, technological development, and operational performance, Amazon constantly strives to enhance its offerings and attain. The organization additionally invests in emerging technologies, such as artificial intelligence and robotics, and has a developing presence in areas like logistics and amusement.
Job Description: ML Data Associate II
Position Overview: The ML Data Associate II will play an important position in supporting our device gaining knowledge of data technology teams using coping with information methods, acting facts analysis, and preparing datasets for model training and evaluation. The ideal candidate could have a strong historical past in data management, and statistical analysis, and enjoy with system gaining knowledge of principles.
About Us: At [Company Name], we’re at the vanguard of leveraging machine learning and statistics technology to force innovation and supply impactful solutions. Our team is dedicated to excellence, and we’re searching for a skilled ML Data Associate II to join us in our undertaking to convert statistics into actionable insights.
Key Responsibilities:
Data Management:
- Collect, easily, and preprocess large datasets from various resources.
- Develop and preserve records pipelines to ensure records availability and fine for gadget gaining knowledge of models.
- Perform information integration and make certain records consistent throughout specific platforms and sources.
Data Analysis:
- Conduct exploratory records evaluation to find insights and developments.
- Create visualizations and reports to speak findings to stakeholders.
- Collaborate with records scientists and engineers to apprehend statistics necessities and provide relevant datasets.
Model Support:
- Assist with the training of schooling and test datasets for gadget learning models. (ML Data Associate II)
- Evaluate and validate statistics best for model overall performance and accuracy.
- Monitor and troubleshoot records-associated troubles in model education and deployment phases.
Documentation and Reporting:
- Document facts processing workflows, methodologies, and first-rate practices.
- Prepare precise reports on data high-quality, analysis effects, and version performance.
- Contribute to know-how-sharing and satisfactory practices within the records group.
Collaboration:
- Work carefully with go-practical groups, consisting of records scientists, engineers, and product managers, to support statistics-pushed projects.
- Participate in group meetings and provide updates on data-related obligations and initiatives.
Qualifications:
- Bachelor’s diploma in Computer Science, Data Science, Statistics, Mathematics, or an associated field. An advanced degree is a plus.
- 2-4 years of revel in records management, information evaluation, or an associated role, ideally in a gadget studying or facts technological know-how surroundings.
- Proficiency in statistics manipulation and evaluation the use of equipment and languages along with Python, R, SQL, or similar.
- Experience with records visualization equipment (e.g., Tableau, Power BI) and information on statistical evaluation strategies. (ML Data Associate II)
- Familiarity with gadget-studying concepts and frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Strong problem-solving competencies and attention to detail.
- Excellent communication and teamwork abilties.
What We Offer:
- Competitive earnings and advantages package deal.
- Opportunities for expert growth and improvement.
- A dynamic and collaborative painting surroundings.
- Flexible work preparations, such as faraway options.
How to Apply: Interested applicants must publish their resume and a cover letter outlining their qualifications and experience. Applications can be sent to [application email/website].
[Company Name] is an equal-possibility employer. We have a good time range and are devoted to developing an inclusive environment for all employees.
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