Jobs in Jordan: Artificial Intelligence and Machine Learning Engineer at APCO Worldwide

APCO Worldwide is offering a job opportunity as an Artificial Intelligence and Machine Learning Engineer to join the team in Amman, Jordan. 

1. Work closely with colleagues from different departments to identify AI/ML use cases for data science that adds value to our business and clients.
2. Stay up to date on the latest innovation in AI/ML/NLP space.
3. Support on the daily development of client deliverables and analysis of the client’s data that requires analytics and data science know-how.
4. Support the development of new business proposals for the clients with special focus on the analytics and AI/ML workstreams.
5. Supporting the digital team in several tasks such as data extraction, preparation, cleaning, analysis, visualizations, and reports generations.
6. Converting complicated data science and analytics aspects into simple to understand concepts presented in a PowerPoint presentation form.
7. Look for opportunities to use insights/datasets/code/models/libraries/etc across the clients.
8. Conduct research from which you'll develop prototypes and proof of concepts using new AI/NLP libraries.
9. Performing analysis on requirements to identify potential gaps and dependencies and determine feasibility and time/effort required for designing, implementing, and testing individual components.
10. Following an internal software development process with best engineering practices.
11. Documenting detailed technical requirements and detailed products documentation.
12. Writing good unit, integration, and end-to-end tests.
13. Providing technical support to clients when requested.
14. Monitoring and fixing issues that are reported by clients.

1. A bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or other relevant disciplines (preferably with knowledge in Digital Communications) OR a portfolio of high-quality projects.
2. Fluency in Arabic would be an advantage.
3. 2-3 years of experience in a similar role.
4. Knowledge of the basics of statistics and hypothesis testing.
5. Solid understanding of data science and AI/machine learning/NLP algorithms (e.g., linear regression, Doc2Vec, Transformers, etc.).
6. Good understanding of system architecture and ability to design systems with ML services.
7. Strong Python expertise (e.g., Jupyter Notebook, FastAPI, SciKit-Learn, Pandas, NumPy, and SciPy).
8. Statsmodels for time-series data analysis and forecasting.
9. Solid experience in Exploratory Data Analysis (EDA) with Pandas, Plotly, or Seaborn.
10. Solid experience in NLP libraries: SpaCy, HuggingFace, NLTK, BERT, etc.
11. Fine-tuning pre-trained models for specific use cases using PyTorch and HuggingFace.
12. Solid experience in MLOps for production: Deploy ML models, continuous/active learning (e.g., prodigy) & ML observability (e.g., GCP or other platforms).

Strong expertise and solid understanding in at least 3 of the following:

1. Knowledge of headless analytics (e.g., CubeJS or Tinybird).
2. Knowledge of React for front-end web applications development.
3. Basic understanding of web development principles and architectures.
4. DevOps: Git & CI/CD, Containerization, & Deployment.
5. SQL Databases (e.g., BigQuery, SQL Server).
6. NoSQL Databases (DynamoDB, Firebase, etc.).
7. Re-usable software architecture (i.e., follows a framework).
8. Data ETL & ML pipelines orchest.io or similar platforms.

About APCO:

Founded in 1984, APCO Worldwide is an award-winning, global communication and business strategy firm with offices in major cities throughout North America, Europe, the Middle East, and Asia. APCO combines a global perspective with local expertise to help clients around the world manage challenges, opportunities, perceptions, and reputations.

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