Evoort Solutions MLOps Engineer

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 (MandatoryHealthcare Domain experience of 2 years)
• Location Gurgaon
• Work Mode Onsite
• Shift UK Shift
• (ref:hirist.tech)
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