This is a remote position.
We are seeking a Machine Learning Engineer (Robust and Python) to join our team.
Responsibilities:
- Collaborate closely with senior engineers data scientists / analysts and product managers to improve our search recommendations and personalization algorithms.
- Design develop and maintain robust scalable machine learning systems to ensure the seamless delivery of personalized food experiences.
- Develop algorithms utilizing stateoftheart machine learning techniques in search retrieval recommendation and natural language processing (NLP).
- Improve our core machine learning infrastructure focusing on product and user embeddings to boost efficiency and effectiveness across all MLdriven services.
- Apply software engineering rigor and best practices to machine learning including CI/CD pipeline orchestration etc.
- Define and promote best practices and workflows throughout the machine learning life cycle.
Requirements
- 1 years of experience in ML modeling and working on large scale production systems.
- Proficient in Python and SQL.
- Experienced with data processing libraries such as Pandas and NumPy.
- Skilled in machine learning libraries and frameworks including Scikitlearn PyTorch TensorFlow or Keras.
- Proficient in using version control systems like Git and collaborative development platforms such as GitHub or GitLab.
- Strong background in developing personalized search and recommendation systems preferably in an ecommerce context.
- Familiarity with development in containerization and cloud computing environments (we use AWS but experience in other platform is useful as well).
Benefits
- Work Location: Remote
- 5 days working
1+ years of experience in ML modeling and working on large scale production systems. Proficient in Python and SQL. Experienced with data processing libraries such as Pandas and NumPy. Skilled in machine learning libraries and frameworks including Scikit-learn, PyTorch, TensorFlow, or Keras. Proficient in using version control systems like Git and collaborative development platforms such as GitHub or GitLab. Strong background in developing personalized search and recommendation systems, preferably in an e-commerce context. Familiarity with development in containerization and cloud computing environments (we use AWS, but experience in other platform is useful as well).