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

- Robust 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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📌 Evoort Solutions MLOps Engineer (New Delhi)
🏢 Evoort Solutions
📍 New Delhi