استخدام AI Engineer (دورکاری)

We're actively interviewing candidates for a part-time position as an AI Engineer at Ideall Technology Company. If you thrive in a remote, diverse, and multinational environment, this opportunity might be just right for you! 

Here's a breakdown of what you could be doing in this role:

Responsibilities:
-Utilize advanced statistical analysis and machine learning techniques to derive insights and solutions from complex datasets
- Develop and implement machine learning models and algorithms to address business challenges and improve processes.
- Collaborate with cross-functional teams to understand project requirements and translate them into technical solution
- Work closely with software development teams to integrate machine learning models into production systems
- Conduct exploratory data analysis, feature engineering, and data harmonization to preprocess and prepare datasets for analysis
- Stay up-to-date with the latest advancements in data science, machine learning, and software development technologies

Required Skills & Experience:
- 3+ years of experience in data science and/or machine learning engineering
- Proven experience in the fintech industry, with a deep understanding of blockchain technology
- Practical knowledge of statistics and machine learning techniques
- Strong Python and object-oriented programming background
Ability to use SQL or other libraries to interact with datasets (pandas, numpy, etc)
- Hands-on experience with data science projects, including SQL database queries, Python (Pandas, NumPy, SciPy, and Scikit-learn) programming, analytics model creation, and implementation
- Familiarity with algorithms and data structures
- Working knowledge of software development teams
- Linux and Git knowledge

Preferred Qualifications:
- Knowledge of distributed computing technologies, such as Spark or Flink
- Knowledge of databases (SQL or NoSQL variants)
- Experience with machine learning creation in Microsoft Azure or other analytics programs
- Experience with feature engineering, exploratory data analysis, and data harmonization
- Experience using supervised and unsupervised learning methods
- Knowledge of deep learning methodologies

You should feel comfortable with:
- Writing and speaking fluent English
- Striking a balance between code perfection and real-world time-to-market considerations