1-2 year of design experience around Statistical modeling, data preparation, Machine learning, Artificial Intelligence, ETL data processing for analytics.
1-2 Years of Application Design.
Coding
1-2 year of actual development/coding around Statistical modeling, data preparation, Machine learning, Artificial Intelligence, ETL data processing for analytics.
1-2 Years of Application Development experience.
1-2 Years of Application Design.
Testing
1-2 Test experience either in support role to application QA assistance.
Deployment
1-2- Experience with deployment to production and automation around deployment
Task Management
1-2 of Experience in leading others to complete their tasks while delivering its own projects.
Must have :
? 1 to 2 yrs of Combined Technical Experience on Machine Learning, Natural Language Processing (NLP), Statistics Integration.
? Bachelor in Computer Science, with Courses in computer systems, computer architecture, Artificial Intelligence and Machine learning. .
? Enterprise level application development experience such as Java or Python.
?
Break down below
:
? 1-2 Years of Experience on Machine learning and Artificial intelligence statistical modeling for Operational purposes (such as maintenance, failures prediction).
? 1-2 Years of Full Stack Development Experience
? Combined experience must be between 1-2Y.
Technical Background:
? Python, Java, JS, SQL, Shell Scripting, or C Programming
? Machine Learning: 2 or more of the following or similar: Linear Regression, Logistic Regression, Decision tree, Random Forest, KNN, KMeans, DBScan, Deep Learning
? Natural Language Processing: One of the following: Sentimental analysis, Classification, NLTK
? R Programming: At least One of the following: Statistical computing, EDA graphs, P - values, Confidence interval, Machine learning algorithms, ggplot
? Python Programming Language: At least one of the following: Pandas, Numpy, web scraping using beautiful soup, Matplotlib, Django
? OS Intermediary in Linux or Windows Servers;
? Basic Networking;
? At least one database technology in intermediary level;
? At least one programing language intermediary and one advanced;
? XML or JSON knowledge
?
Strong experience in Design & Support Applications:
Data Warehouse, Data Integration Systems, Big Data Lake or B2B System Integration/e-Commerce (at least one).
? IOT data collection & prediction experience: using data sensors, parses the data, recognizes connected devices. Make predictions based on identifying data patterns from these devices.
? Experience in Agile and Waterfall methodologies.
Good to have
?
Technical Background
? One of the following: AWS Solution, Azure Cloud Computing
? One of the following Tools: RESTful API, JSON, XML, Git, Visual Studio code, eclipse
? Big Data Administration or Development Certification or proven implementation experience.
? Hands on development skill on at least one Big Data Distribution is desired.
? Django Framework: Rest APIs, web services, Deployment on Aws server using Apache2
Job Types: Full-time, Permanent
Benefits:
Health insurance
Provident Fund
Schedule:
Day shift
Morning shift
Rotational shift
Work Location: In person
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