Role: Evoort Solutions MLOps Engineer
Industry Type: IT Services & Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
UG: B.Tech / B.E. in Any Specialization
PG: Any Postgraduate
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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