
Data Driven Innovation Specialist
18 hours ago
Machine Learning Engineer Opportunity
Overview
We are seeking a talented Machine Learning Engineer to join our team. As a key member of our engineering group, you will be responsible for designing, developing, and deploying machine learning models into production.
Responsibilities
- Design and develop machine learning models using Python and associated libraries such as NumPy and Pandas.
- Collaborate with customer success teams to enhance usability, streamline analytical workflows, and simplify technical concepts for non-technical stakeholders.
- Assess business requirements and design analytical dashboards on cloud platforms for retail and digital brands.
Requirements
- 3 - 5 years of relevant experience in machine learning, data deployment, and analytics project management.
- Proficiency in Python and associated libraries such as NumPy and Pandas.
- Solid understanding of cloud computing, especially with AWS.
Preferred Qualifications
- 3-5 years of experience in managing data visualization and analytics solutions on cloud platforms.
- In-depth knowledge of AWS services, including AWS Glue, Athena, and EC2.
Skills and Qualifications
Technical Skills: Python, NumPy, Pandas, Flask, API integrations, distributed programming, web crawling.
Cloud Expertise: AWS, including ETL tools like AWS Glue and AWS Athena, as well as Docker for containerization.
Database Knowledge: SQL proficiency, especially in cloud-based environments.
Machine Learning Techniques: Skilled in regression, clustering, time series analysis, and both supervised and unsupervised learning methods.
Visualization & Analytics Tools: Familiarity with AWS Quicksight, Streamlit, or similar tools.
Domain Knowledge: Understanding of retail/e-commerce analytics and metrics.
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