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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