Role: ML Data Associate
Experience: From 0 to 1 year(s) of experience
Salary: ₹ 2-2.5 Lacs P.A.
Location: Chennai
Company: Amazon
Time and Venue
21st June, 9.30 AM – 12.30 PM
Amazon Development Center Ramanujan IT City, Tharamani, Chennai, Tamil Nadu 600113
Contact – Arul Kumaran
About Amazon Company
Amazon.Com strives to be Earth’s maximum customer-centric enterprise wherein human beings can locate and find out honestly something they need to buy online. By giving clients more of what they want – low prices, tremendous selection, and comfort – Amazon.Com continues to grow and evolve as a global-class e-trade platform.
ML Data Associate Job Description
The ML Data Associate will play a vital role in helping our system study projects with the useful resource of managing, processing, and reading massive datasets. This access-diploma role is ideal for people with an eager interest in statistics era and gadget analyzing, who’re eager to broaden their talents in a quick-paced, collaborative environment.
Key Responsibilities:
Data Collection and Management:
Collect, smooth, and hold large datasets from numerous resources.
Ensure records are first-class and integrity through performing ordinary audits and exams.
Organize and shop statistics in an available and green manner.
Data Preprocessing:
Perform data preprocessing obligations which consist of normalization, standardization, and transformation.
Handle missing information, outliers, and inconsistencies to assemble analysis datasets.
Data Annotation and Labeling:
Annotate and label datasets for supervised gaining knowledge of models.
Collaborate with vicinity professionals to ensure accurate labeling.
Exploratory Data Analysis (EDA):
Conduct exploratory records evaluation to perceive patterns, trends, and insights.
Visualize information using devices like Matplotlib, Seaborn, or Tableau to useful resource preference-making techniques.
Support Machine Learning Models:
Assist facts scientists and ML engineers in developing and validating system studying models.
Provide crucial datasets and insights to improve version overall performance.
Documentation and Reporting:
Document records series, preprocessing, and analysis methods.
Prepare reviews and shows to speak findings to stakeholders.
Collaboration and Communication:
Work carefully with move-useful teams which consist of facts scientists, software program software engineers, and product managers.
Participate in institution meetings and contribute to challenge-making plans and technique discussions.
ML Data Associate Required Qualifications:
Education: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related difficulty.
Technical Skills:
Proficiency in Python and its data manipulation libraries which include Pandas and NumPy.
Experience with SQL for database control and querying.
Familiarity with statistics visualization gear and libraries.
Analytical Skills: Strong analytical and problem-fixing talents.
Attention to Detail: High accuracy and interest in detail in dealing with records.
Communication Skills: Excellent verbal and written communique abilties.
Team Player: Ability to paint efficiently in collaborative group surroundings.
Preferred Qualifications:
Prior experience in an information-centric role, especially inside a system learning context.
Knowledge of machine mastering ideas and frameworks in conjunction with TensorFlow or PyTorch.
Experience with cloud systems like AWS, Google Cloud, or Azure.
Understanding of records privacy and safety exceptional practices.
Career Development Opportunities:
At InnovateTech Solutions, we spend money on our personnel’s boom and development. As an ML Data Associate, you will have to get entry to:
Training Programs: Regular workshops and courses on advanced records technological know-how and machine studying strategies.
Mentorship: Guidance from skilled data scientists and agency experts.
Career Pathways: Opportunities for career development into roles that consist of Data Scientist, ML Engineer, or Data Analyst.
Why Join Us?
Innovative Environment: Work on exciting duties that push the limits of generation and innovation.
Collaborative Culture: Be part of a supportive and inclusive organization that values numerous views and thoughts.
Impactful Work: Contribute to substantial tasks that have an actual-international impact on numerous industries.
Competitive Compensation: Attractive revenue and advantages package deal, together with clinical health insurance, paid time off, and more.
Application Process:
To follow for the ML Data Associate role, please publish your resume and a cowl letter detailing your hobbies and qualifications. Selected candidates can be contacted for a preliminary interview, observed with the aid of technical checks, and a final interview spherical.
Join InnovateTech Solutions and embark on a rewarding profession inside the exciting vicinity of tool-gaining knowledge of and data era. Together, we can create answers that make a distinction.
Contact Information:
Email: careers@innovatetech.Com
Website: www.Innovatetech.Com/careers
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