- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: MLOPs.
 
  
  
    
    
  
      Urgent! MLOPs - Local Job Opening in Chennai
 
                        
                         Job Title: MLOps Engineer
Experience: Minimum 3 Years
Location: Chennai
Employment Type: Full-time
About the Role:
We are seeking an experienced MLOps Engineer with a focus on healthcare AI to join our innovative team.
This role involves designing, implementing, and maintaining scalable MLOps pipelines for deploying deep learning models, including very deep vision models and large language models (LLMs), in clinical research, diagnostics, and healthcare analytics.
The ideal candidate will have hands-on experience in healthcare AI environments, ensuring reliable, efficient, and compliant model deployments.
Key Responsibility:
● Design and implement CI/CD pipelines for machine learning models using tools like Jenkins, GitHub Actions, or GitLab CI.
● Deploy and manage very deep vision models (e.g., CNNs for medical imaging) and LLMs (e.g., for NLP in clinical notes) in production environments using Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, GCP).
● Develop monitoring, logging, and alerting systems for ML models to ensure performance, drift detection, and retraining triggers using tools like Prometheus, Grafana, or MLflow.
● Collaborate with data scientists, AI engineers, and clinicians to integrate models into healthcare workflows, handling large-scale medical datasets.
● Implement version control for models and data using tools like DVC, MLflow, or Kubeflow.
● Ensure compliance with healthcare regulations (e.g., HIPAA, GDPR) through secure data handling, model auditing, and privacy-preserving techniques.
● Optimize model inference for efficiency, including model quantization, serving with TensorFlow Serving, TorchServe, or BentoML.
● Troubleshoot deployment issues and perform A/B testing for model iterations.
● Automate infrastructure as code using Terraform or Ansible for reproducible environments.
Must-Have Skills & Experience
● Bachelors or Masters degree in Computer Science, Engineering, or a related field.
● Minimum 3 years of experience as an MLOps Engineer or in a similar role.
● Hands-on experience deploying very deep vision models (e.g., ResNet, U-Net for medical imaging) and LLMs (e.g., GPT variants, BERT for healthcare NLP).
● Some experience in healthcare AI, such as working with medical imaging data (DICOM) or clinical datasets.
● Proficiency in Python, containerization (Docker), orchestration (Kubernetes), and CI/CD.
● Familiarity with ML frameworks like TensorFlow, PyTorch, and MLOps platforms like Kubeflow, SageMaker, or Vertex AI.
● Strong understanding of cloud computing, DevOps practices, and version control (Git).
● Knowledge of data security and regulatory compliance in healthcare.
                      
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your MLOPs Potential: Insight & Career Growth Guide
Real-time MLOPs Jobs Trends in Chennai, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for MLOPs in Chennai, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 4229 jobs in India and 119 jobs in Chennai. This comprehensive analysis highlights market share and opportunities for professionals in MLOPs roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Meril is currently hiring and seeking a MLOPs to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: MLOPs Jobs Chennai.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Meril adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a MLOPs Jobs India varies, but the pay scale is rated "Standard" in Chennai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for MLOPs typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for MLOPs, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
            Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your MLOPs interview at Meril, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Meril's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for MLOPs is easy with Chennai Jobs | Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!