Necessary skills for AI/Machine Learning Engineer: skills and requirements
General requirements of a AI/Machine Learning Engineer
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Strong programming skills in languages such as Python, Java, or C++
• In-depth knowledge of machine learning algorithms and techniques
• Experience with data preprocessing, feature engineering, and model evaluation
• Proficiency in using popular machine learning libraries such as TensorFlow or PyTorch
Skills and Behaviours for a AI/Machine Learning Engineer
Big data
Apache Flink
CUDA
Databricks
Hadoop
Hive
Impala
Kafka
Spark
Data manipulation
Dask
Pandas
Vaex
dplyr
Data scrapping
Beautiful Soup, Beautifulsoup, bs4
Requests
ScrapingBee
Scrapy
Selenium
lxml
rvest
xml2
Data statistics
Numpy
SciPy
Shogun
mlpack
Data visualization
Matplotlib
Metabase
Metrics
Palantir
Power BI
Qlik Sense
SAP Analytics
SAS
Tableau
Database
Cassandra
Database maintenance
Database queries
MongoDB
MySQL
NoSQL
PostgreSQL
SQL
Solr
Programming languages
Ajax
Bash
C
C#
C++
Go / Golang
Java
JavaScript
Kotlin
Node.js
PHP
Perl
PowerShell
Python
R
Ruby
Rust
Scala
TypeScript
Python-based frameworks
AIOHTTP
Bottle
CherryPy
Django
Falcon
FastAPI
Flask
Grok
Jam.py
Nevow
Pylons project
Quixote
TurboGears
Web2py
Analytical thinking
Gathering information and data
Identifying cause and effect relationships
Think analytically
Problem solving
Identifying and anticipating problems
Implementing solutions
Making fact based decisions to solve problems