Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: MLOps Engineer CI/CD Pipeline.
India Jobs Expertini

Urgent! MLOps Engineer - CI/CD Pipeline Job Opening In Gurugram – Now Hiring Confidential

MLOps Engineer CI/CD Pipeline



Job description

<p><p><b>Job Title :</b> MLOps Engineer<br/><br/><b>Location :</b> Bangalore / Gurgaon<br/><br/><b>Experience :</b> 4 to 8 years<br/><br/><b>Employment Type :</b> Full-time<br/><br/><b>Notice Period :</b> 15 days<br/><br/><b>About the Role :</b><br/><br/>We are seeking an experienced MLOps Engineer who can bridge the gap between Machine Learning and DevOps.</p><p><br/></p><p> You will be responsible for designing, building, and maintaining scalable pipelines to deploy, monitor, and manage machine learning models in production environments.

</p><p><br/></p><p>This role requires strong programming skills, expertise in MLOps tools, and hands-on experience with cloud platforms.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, implement, and manage CI/CD pipelines for ML model training, deployment, and monitoring.<br/><br/>- Automate data preprocessing, model training, testing, and production deployment workflows.<br/><br/>- Set up model monitoring, logging, and alerting to ensure performance and reliability.<br/><br/>- Collaborate with data scientists and software engineers to integrate models into production systems.<br/><br/>- Optimize infrastructure for scalability, cost-effectiveness, and high availability.<br/><br/>- Ensure compliance with security, governance, and best practices in ML lifecycle management.<br/><br/><b>Primary Skills & Qualifications :</b><br/><br/>- Strong programming skills in Python with a focus on ML/AI workflows.<br/><br/>- Hands-on experience with Docker and Kubernetes for containerization and orchestration.<br/><br/>- Proficiency in MLOps tools such as Kubeflow, MLflow, or similar frameworks.<br/><br/>- Experience with cloud platforms like AWS SageMaker, Azure ML, or equivalent.<br/><br/>- Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions) and version control systems (Git).<br/><br/>- Familiarity with model monitoring, model registry, and reproducibility best practices.<br/><br/><b>Good to Have :</b><br/><br/>- Experience with Terraform or other Infrastructure-as-Code (IaC) tools.<br/><br/>- Exposure to big data frameworks like Spark or Kafka.<br/><br/>- Understanding of data engineering pipelines and ETL processes.<br/><br/><b>Why Join Us : </b><br/><br/>- Opportunity to work on cutting-edge ML infrastructure at scale.<br/><br/>- Collaborative and innovative environment.<br/><br/>- Competitive compensation and growth opportunities.</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your MLOps Engineer Potential: Insight & Career Growth Guide