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Urgent! ML Ops Engineer Job Opening In New Delhi – Now Hiring Aurigo Software Technologies
Role Brief:
We are seeking a skilled
ML Ops Engineer
to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services.
This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production.
The ideal candidate will have hands-on experience with AWS tools such as SageMaker, Lambda, Bedrock, Batch with Fargate, and infrastructure components like RDS, DynamoDB, and SQS.
You will be responsible for automating CI/CD workflows, managing auto-scaling APIs, and provisioning cloud resources to support high-performance ML workloads, including RAG systems.
Primary Responsibilities:
Strategizing and implementing scalable infrastructure for ML or LLM model pipelines using tools like and cloudservices such as AWS (e.g.,AWS Batch, Fargate,Bedrock)
Manage auto-scaling mechanisms to handle varying workloads and ensure high availability of Rest APIs
Automate CI/CD pipelines and Lambda functions for model testing, deployment, and updates, reducing manual errorsand improving efficiency.
Amazon SageMaker Pipelines for end-to-end ML workflow automation.
Optimize utilizing step-functions
Conduct drift analysis to detect and respond to data drift, concept drift, and label drift.
Implement mitigation strategies such as automated alerts, model retraining triggers, and performance audits.
Set up reproducible workflows for data preparation, model training, and deployment.
Provision and optimize cloud resources (e.g., GPUs, memory) to meet computational demands of large models like those used in RAG systems
Automate retraining workflows to keep models updated as data evolves
Work closely with data scientists, ML engineers, and DevOps teams to integrate models into production environments.
Implement monitoring tools to track model performance and detect issues like drift or degradation in real- time.
Monitoring dashboards with real-time alerts for pipeline failures or performance issues C Implementing ModelObservability frameworks.
Required Skills:
Education Any Engineering (BE/Btech/ME/Mtech)
Min 4 years of experience with AWS services such as Lambda, Bedrock, Batch with Fargate, RDS (PostgreSQL), DynamoDB, SQS, CloudWatch, API Gateway, SageMaker
Should have hands-on experience in drift analysis, including detecting and mitigating data, concept, and label drift in production ML systems
Knowledge of ML frameworks (e.g., PyTorch, TensorFlow) to understand model requirements during deployment
Experience with Rest API Frameworks like Fast APIs, Flask
Familiarity with model observability like Evidently, Nanny ML, Phoenix and monitoring tools (Grafana etc) and retraining tools like MLflow/ Kubeflow / Airflow
AWS Certified Machine Learning – Specialty –
Good to have this certification
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Unlock Your ML Ops Potential: Insight & Career Growth Guide
Real-time ML Ops Jobs Trends in New Delhi, 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 ML Ops in New Delhi, 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 17043 jobs in India and 619 jobs in New Delhi. This comprehensive analysis highlights market share and opportunities for professionals in ML Ops roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Aurigo Software Technologies is currently hiring and seeking a ML Ops Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: ML Ops Engineer Jobs New Delhi.
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 Aurigo Software Technologies adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a ML Ops Engineer Jobs India varies, but the pay scale is rated "Standard" in New Delhi. 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 ML Ops Engineer typically include Computer Occupations 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.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your ML Ops Engineer interview at Aurigo Software Technologies, 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 Aurigo Software Technologies'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!
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