Job Title : ML Data Associate II
Salary : Rs 3.5-4.5 Lacs P.A
Location : Chennai
Company : Amazon
Qualifications : Any Graduate
Experience: 1 – 3 Years
ABOUT AMAZON
Amazon, founded by way of Jeff Bezos in 1994, started out as an online book place and has advanced into one of the world’s biggest e-commerce and generation businesses. Headquartered in Seattle, Washington, Amazon offers a sizeable array of merchandise, which include electronics, clothing, and groceries, thru its big online platform.It has diverse into various sectors, which include cloud computing with Amazon Web Services (AWS), that’s a main issuer inside the industry.
The corporation additionally operates Amazon Prime, a subscription carrier supplying blessings like expedited transport and get admission to to streaming media. Amazon has improved into physical retail with its acquisition of Whole Foods and its personal cashier-less stores, Amazon Go. Known for its purchaser-centric approach, modern technology, and worldwide reach, Amazon keeps to form the destiny of purchasing and digital offerings, retaining a big have an effect on on the global market and economic system.
Job Overview: Machine Learning Data Associate II
As a Machine Learning Data Associate II, you’ll play a essential role in assisting the improvement and deployment of system learning fashions by means of handling and getting ready facts. This function calls for a blend of technical knowledge in records managing and a keen information of device studying principles.
Key Responsibilities:
Data Management:
- Collect, easy, and preprocess massive datasets to ensure high-quality inputs for system learning models.
- Implement statistics ameliorations and manipulations to optimize data for evaluation and modeling.
- Maintain and update records pipelines to support ongoing model improvement and deployment.
Data Analysis and Validation:
- Perform exploratory data analysis to uncover patterns, traits, and anomalies.
- Validate data accuracy and integrity, addressing discrepancies and making sure consistency.
- Collaborate with information scientists to recognize version necessities and modify facts coaching techniques thus.
Model Support:
- Assist inside the development and tuning of machine mastering models by means of supplying nicely-based information.
- Monitor model performance and conduct regular reviews to make certain statistics relevance and model accuracy.
- Troubleshoot information-associated issues and paintings with the engineering team to solve any records pipeline issues.(ML Data Associate II)
Documentation and Reporting:
- Document information methods, differences, and methodologies to ensure reproducibility and compliance.
- Generate reports on information high-quality, preprocessing steps, and model performance metrics.
- Present findings and insights to stakeholders to aid selection-making and strategic making plans.
Collaboration and Communication:
- Work intently with statistics scientists, engineers, and other group participants to align on facts requirements and venture goals.
- Communicate technical data genuinely to non-technical stakeholders and ensure alignment on statistics wishes and challenge development.
Qualifications:
- Educational Background: Bachelor’s diploma in Computer Science, Data Science, Statistics, or a associated field. Advanced stages or relevant certifications are a plus.
- Experience: 2-4 years of revel in in data management, information analysis, or a similar function, ideally inside a system studying context.
- Technical Skills: Proficiency in records manipulation gear and languages (e.G., SQL, Python, R). Experience with records processing libraries and frameworks (e.G., Pandas, NumPy, Scikit- examine) is needed.
- Analytical Skills: Strong capacity to analyze and interpret complex datasets, with interest to detail and accuracy.(ML Data Associate II)
- Problem-Solving: Demonstrated capability to perceive and remedy statistics-related issues efficiently.
- Communication: Excellent written and verbal communique talents to convey technical standards to diverse audiences.
Work Environment:
- The function usually involves working in an office placing with possibilities for faraway paintings or hybrid arrangements relying on business enterprise policy.
- Collaborative surroundings requiring interplay with diverse groups and stakeholders.
Career Path:
Opportunities for advancement may additionally consist of roles including Senior Data Associate, Data Scientist, or Machine Learning Engineer, relying on performance and profession hobbies.
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