ML Engineer
ML Engineer
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1 Vacancy
Job Description
- Experience: 25 years in machine learning and related technologies.
- Technical Skills:
- Proficiency in Python and popular machine learning libraries such as TensorFlow PyTorch or scikitlearn.
- Experience with data preprocessing feature engineering and model evaluation.
- Familiarity with deploying machine learning models in production environments.
- Knowledge of algorithms and statistical methods for data analysis.
- Comfortable working with SQL and databases.
- Experience with cloud platforms like AWS GCP or Azure is a plus.
- Competitive Programming: Demonstrated experience in competitive programming is required.
- Model Development: Design test and deploy machine learning models tailored for our commerce platform.
- Collaboration: Work closely with crossfunctional teams to integrate ML solutions into our products.
- Data Analysis: Analyze data to uncover trends and patterns that inform business decisions.
- Optimization: Continuously enhance model performance and optimize algorithms.
- Innovation: Stay abreast of the latest advancements in machine learning and data science.
- Technical Screening: 15 to 30 minutes to evaluate your basic technical skills.
- DSA Round: 1 hour focused on data structures and algorithms.
- DSA and Technical Round: 1 hour combining data structures algorithms and technical expertise.
- Culture Round: Assessing fit within our team and company culture.
aws,tensorflow,database,competitive programming,innovation,gcp,model development,ml,scikit-learn,feature engineering,data preprocessing,pytorch,azure,optimization,python,model evaluation,sql,collaboration,data analysis
Employment Type
Full Time
