Machine Learning Engineer

Role description

Job Title: Machine Learning Engineer

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Minimum Qualifications:

1. At least 6+ years of experience in Information Technology.
2. At least 4 years of experience in Information Technology in MLOPS.
3. At least 4 years of experience in Python programming for ML model deployment, adhering to clean code standards.
4. At least 4 years of experience with Python and expertise in Pandas, SKLearn, Dart, Gradient Boosting Libraries (XGBoost, LightGBM, CatBoost), Prophet, Ray, and Dask.
5. At least 4 years of experience in Azure or GCP cloud environments.
6. Professional experience setting up MLOps frameworks, monitoring, and dashboarding of MLOps runs.
7. Deep understanding of traditional machine learning and the data science lifecycle, including CRISP-DM knowledge.
8. At least 2 years of experience in MLOps frameworks, industry standards, and operational KPIs.

Preferred Qualifications:

• Experience working in Agile environments, managing team efforts, and tracking progress through JIRA.
• Strong client communication skills.
• Domain experience in Retail, CPG, and Logistics.
• Experience with Test Driven Development, Pytest frameworks, Git version control, and REST APIs.

Additional Details:

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Other
• Industries: IT Services and IT Consulting