Evoort Solutions MLOps Engineer Cloud Based Solutions

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Evoort Solutions MLOps Engineer Cloud Based Solutions

Evoort Solutions
5 - 8 years
Delhi, NCR
2 months ago
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Job Description

Salary 6 to 12 LPA
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 areas

Pipeline & 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 behavior

Qualifications
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

(ref:hirist.tech)
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Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Platform Engineer
Employement Type: Full time

Contact Details:

Company: Evoort Solutions
Location(s): Delhi, NCR

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Keyskills: golang linux internals python ruby bash continuous integration kubernetes pharmaceutical scikit-learn docker ansible tensorflow java gcp devops linux pytorch jenkins keras github microsoft azure machine learning gitlab ci terraform agile aws

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Expected Salary (*)

Desired Industry (*):

Functional area / Department (*):

Enter Skills (key skills, subjects, technologies & roles to use in search)

Write briefly about yourself, your experience and education (*)

Attach ResumeMax 2.38 MB (RTF, PDF, DOC, DOCX formats only parsed)

Please, check the file size and type.

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Evoort Solutions MLOps Engineer Cloud Based Solutions

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