What are the responsibilities and job description for the Principal ML Engineer (Data IKU) position at Tiger Analytics?
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
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.
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.
