Senior Machine Learning Developer

2 days ago


Bengaluru, Karnataka, India Weekday Full time
Machine Learning Engineer Role at Weekdays

At Weekdays, we're on the lookout for a talented Machine Learning Engineer to join our dynamic team. This is a great opportunity to develop and deploy machine learning models that enhance our commerce platform. You'll be part of a collaborative environment where you can share your expertise and learn from others. In this role, you'll be responsible for designing, testing, and deploying machine learning models tailored for our commerce platform.

Responsibilities
  • Model Development: Create and deploy machine learning models that meet our platform's needs.
  • Collaboration: Work closely with cross-functional 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 up-to-date with the latest advancements in machine learning and data science.

We're looking for someone with experience in machine learning and related technologies, including proficiency in Python, TensorFlow, PyTorch, and scikit-learn. You should have a strong background in data preprocessing, feature engineering, and model evaluation. Experience with deploying machine learning models in production environments and knowledge of algorithms and statistical methods for data analysis are also essential. If you have experience with cloud platforms like AWS, GCP, or Azure, that's a plus. We're also looking for someone with competitive programming skills and experience.


Interview Process
  • 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.

We're an equal opportunities employer and welcome applications from diverse candidates. Please note that we'll be conducting interviews via video conferencing. We're looking forward to hearing from you



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