Position: Data/Machine Learning Engineer
Company: GeeksForLess
Category: Data Science
Experience required: 5y
English level: upper
Published: 2023-08-01T00:00:00+03:00

**Short term: 5 months 
Working schedule:Sun - Thu
Location: Tel Aviv**

**Job Description:** 
The Machine Learning Engineer is a technical subject-matter expert, who generates significant business impact and crafts the direction of product initiatives by being driven and having full ownership of your projects - from ideation to collecting data, annotating, feature engineering, productionizing and training model pipelines, deploying experiments, measuring and iterating on them.

**Key Responsibilities:**
- Develop production-grade machine learning code, from models to features and pipelines, allowing for scalability, realtime, monitoring and retraining.
- Build readable and reusable code, choosing the right technologies and coding methodologies applying knowledge of business area tools and product needs.
- Monitor product health, performance and business impact and act accordingly when requirements are not met.
Identify underlying issues and opportunities across related domains and situations through application of structured thinking and logic.

**Requirements of special knowledge/skills:**
- Strong knowledge in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, , Causal Inference, scaling ML models, etc.
- 4+ years of relevant work experience (or equivalent), involved with the application of Machine Learning to business problems, preferably in a commercial environment.
- Strong working experience in one or more general purpose programming languages, including but not limited to: Java, Python or Perl.
- Strong background in Data and ML Engineering frameworks and tools (Hadoop, Spark, Airflow, AWS Sagemaker)
- BsC or higher in Computer Science, Artificial Intelligence, Software Engineering, or related fields.
- Knowledge of multiple machine learning facets, such as working with large data sets, experimentation, scalability and optimization.
Experience with data-driven product development: analytics, A/B testing, etc.
-Knowledge of version control systems.
-Excellent English communication skills, both written and verbal.