We are seeking a highly skilled MLOps Engineer with experience in Healthcare domain to join our team. The Engineer will be responsible for ensuring the accuracy, performance, and stability of ML models.

This role includes continuous monitoring, maintenance, and improvement of ML pipelines, Docker images, and data synchronization processes.

Key Responsibilities

Model Accuracy & Performance :

• Perform in-depth analysis of model accuracy.
• Identify and diagnose issues affecting model accuracy.
• Collaborate with data scientists to address and rectify model shortcomings.
• Regularly compare model performance against previous results to identify trends and improvement & Infrastructure Maintenance:
• Design and implement cloud solutions for MLOps (AWS, Azure, or GCP).
• Build and maintain CI/CD pipelines using GitLab CI, GitHub Actions, Circle CI, Airflow, or similar tools.
• Maintain production pipelines and Docker images with the latest model code.
• Ensure stability and alignment between development and production environments.
  
  

Model Deployment & Monitoring

• Manage containerization, deployment, versioning, and monitoring of ML models.
• Implement automated testing, validation, and quality checks for data science models.
• Troubleshoot and resolve bugs related to model deployment and data synchronization.
  
  

Data Synchronization & Reporting

• Maintain consistent data synchronization across systems.
• Export and format monthly results for reporting and analysis.
• Upload and process monthly CSV data into databases.
• Implement and improve event logic for data insights.
  
  

Stakeholder Collaboration

• Provide insights and explanations for model predictions to stakeholders.
• Collaborate with affiliate teams to address their needs related to predictions and model outputs.
• Conduct deep-dive analyses on model performance, including feature importance and model :
• 4+ years of experience as MLOps Engineer.
• Minimum 2 years experience supporting Healthcare business as MLOps Engineer.
• Proven experience in designing and implementing cloud-based MLOps solutions (AWS, Azure, GCP).
• Proficiency in CI/CD pipeline orchestration tools (GitLab CI, GitHub Actions, Circle CI, Airflow).
• Strong programming skills in Python, Go, Ruby, or Bash.
• Solid understanding of Linux environments.
• Hands-on experience with machine learning frameworks (scikit-learn, Keras, PyTorch, TensorFlow).
• Familiarity with Agile project delivery processes.
• Strong analytical and problem-solving skills with a quality control mindset.
• Excellent written and verbal communication skills for effective team coordination.
• Consulting experience with creativity, critical thinking, project planning, and attention to detail.
• Knowledge of the US/Europe pharmaceutical market and experience with pharmaceutical data is a plus.
  
  

Number of Positions : 2.

Job Type : Full-Time.

Experience Required : 4+ Years (Mandatory: Healthcare Domain experience of 2 years).

Location : Gurgaon.

Work Mode : Onsite.

Shift : UK Shift.

(ref:hirist.tech)