MLOps Engineer

6 days ago

Delhi, Delhi, India Evoort Solutions Full time ₹ 9,00,000 - ₹ 12,00,000 per year

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
- )

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