Senior Data Science Engineer

We are seeking a Senior Data Science Engineer with expertise in building and operationalizing production-grade machine learning pipelines . The ideal candidate will have hands-on experience with MLFlow Databricks and Azure ML and a strong background in developing ML solutions for healthcare predictive use cases . This role will be central to embedding ML models into enterprise data workflows and ensuring their ongoing performance.

Key Responsibilities

• ML Pipeline Engineering : Design build and maintain scalable ML pipelines leveraging MLFlow Databricks and Azure ML.

• Model Development : Develop and optimize ML models particularly for healthcare predictive analytics .

• Integration : Embed ML models into KPI-driven data processing and analytics workflows .

• Model Lifecycle Management : Implement model monitoring drift detection retraining and continuous improvement strategies.

• Collaboration : Work closely with data engineers data scientists and business stakeholders to deploy solutions that deliver measurable impact.

Key Skills & Experience

• 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.

Why Join Us

• Work on cutting-edge healthcare predictive analytics solutions .

• Gain exposure to enterprise-scale ML pipelines on modern platforms.

• Opportunity to drive end-to-end ML lifecycle ownership .

• Competitive compensation and career growth in a fast-growing data-driven organization.