REQUIRED
Machine Learning & Data Science Understanding of machine learning algorithms, model training, and validation processes; familiarity with libraries like TensorFlow, PyTorch, or Scikit-Learn.
Big Data Technologies Experience with big data processing tools (e.g. Hadoop, Spark).
Exposure to ML & NLP Exposure to deep learning models and natural language processing.
Database Management Experience with OpenSearch, SQL, and NoSQL databases (e.g. PostgreSQL, DynamoDB), as well as data management tools (e.g. ETL processes).
Programming Skills Experienced in Python.
Version Control Proficiency with the Git version control system.
Analytical Skills Strong problem-solving skills with the ability to diagnose and troubleshoot complex software issues.
Soft Skills Strong skills in remote leadership, collaboration, ownership, and accountability, with the ability to work effectively in a team environment and take responsibility for project outcomes.
NICE TO HAVE
Data Visualization Proficiency in data visualization tools such as D3.js, Plotly, or similar, and experience translating complex data into clear visuals.
Back-End Services Knowledge of Node.js or Golang.
Web Technologies Familiarity with RESTful and GQL API development.