Senior Data Science Engineer
Antons
Posted 30+ days ago
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Experience
6 - 8 Years
Job Location
Education
Bachelor of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Key Responsibilities
-
ML Pipeline Engineering: Design, build, and maintain scalable ML pipelines leveraging MLFlow, Databricks, and Azure ML.
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Model Development: Develop and optimize ML models, particularly for healthcare predictive analytics.
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Integration: Embed ML models into KPI-driven data processing and analytics workflows.
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Model Lifecycle Management: Implement model monitoring, drift detection, retraining, and continuous improvement strategies.
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Collaboration: Work closely with data engineers, data scientists, and business stakeholders to deploy solutions that deliver measurable impact.
Desired Candidate Profile
6+ years of experience in machine learning engineering or applied data science.
- Hands-on expertise with MLFlow, Databricks, and Azure ML.
- Strong experience in developing and deploying predictive ML models, ideally within healthcare.
- Proficiency in Python, SQL, PySpark, and modern ML frameworks (TensorFlow, PyTorch, or Scikit-learn).
- Knowledge of model monitoring, drift detection, and automated retraining strategies.
- Familiarity with cloud-native ML architectures and CI/CD for ML (MLOps).
- Strong problem-solving and collaboration skills with a focus on production-grade delivery.
Company Industry
Department / Functional Area
Keywords
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