ByKey Responsibilities:
- Model Development & Deployment: Design, develop, and deploy machine learning models to address complex business issues in areas such as recommendations (Recsys), search, computer vision, supply chain management (SCM), pricing, forecasting, and trend prediction.
- Technical Expertise: Hands-on work in machine learning topics like Natural Language Processing (NLP), computer vision, recommender systems, and optimization.
- Software Solutions: Create robust software for model deployment and work on maintaining machine learning pipelines.
- Collaboration: Partner with Data Platforms teams for data acquisition and work on improving data pipelines.
- Performance Monitoring: Evaluate model performance using statistical methods, and troubleshoot and tune models as needed.
- Stay Updated: Keep up with the latest research and communicate findings within the organization.
Qualifications:
- Educational Background: Master’s/PhD in fields like Computer Science, Mathematics, or Statistics, or at least 1+ years of industry experience with a Bachelor’s degree.
- Technical Skills:
- Proficiency in Python or another high-level language.
- Solid understanding of statistical models and machine learning algorithms (e.g., neural networks, decision trees).
- Experience with SQL/NoSQL databases.
- Familiarity with frameworks like TensorFlow, PyTorch, or scikit-learn.
- Soft Skills: Strong communication, intellectual curiosity, and the ability to manage workloads effectively.
Nice to Have:
- Publications in machine learning journals/conferences.
- Experience with ML orchestration tools (Airflow, Kubeflow, MLFlow).
- Exposure to Generative AI models.
If you’re interested, apply via this Myntra Hiring Data Scientist.
