Principal ML Engineer
4 weeks ago
Requirements
Responsibilities:
Building and deploying scalable machine learning models using MLE and ML OPs frameworks
Developing interactive web applications and dashboards to present data-driven insights to stakeholders
Collaborating with cross-functional teams, including software developers and business stakeholders, to understand requirements and deliver impactful solutions
Providing consulting services to help the organization make data-driven decisions.
Qualifications:
Extensive experience in data engineering, data analysis, and machine learning.
Proficiency in Python, SQL, and cloud-based data processing tools.
Hands-on experience with Data IKU, MLE, ML OPs, and web application development frameworks.
Strong experience on Google cloud.
Strong problem-solving skills and the ability to translate business requirements into technical solutions.
Excellent communication and presentation skills to effectively convey insights to stakeholders.
If you are a versatile data professional who thrives in a dynamic, fast-paced environment, we'd love to hear from you. Join our team and help us drive data-driven innovation across the organization.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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