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Urgent! ML Ops Job | EXL
Prior ~2+ years of experience working with ML Ops & DS
Responsibilities & Skills:
Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions) .
Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools .
Containerize and orchestrate workloads with Docker & Kubernetes ; manage infra via Terraform/CloudFormation .
Implement model registries, feature stores, and observability using MLflow, Feast, Prometheus/Grafana .
Collaborate with data scientists to operationalize ML models for personalization, recommendations, NLP .
Proficient in Python , ML frameworks (Scikit-learn, TensorFlow, PyTorch ) and data pipelines (Airflow, Spark, SQL ).
Bonus: experience with real-time ML serving, A/B testing, or media/recommender systems .
Nice-to-Have:
Experience with subscription, media, or recommender systems .
Knowledge of experiment design & causal inference .
Exposure to real-time ML serving (KFServing, Seldon, Ray Serve).
Education:
Btech /Mtech
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Unlock Your ML Ops Potential: Insight & Career Growth Guide
Real-time ML Ops Jobs Trends in vapi, 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 vapi, 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 9040 jobs in India and 41 jobs in vapi. 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! EXL is currently hiring and seeking a ML Ops 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 Jobs vapi.
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 EXL adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a ML Ops Jobs India varies, but the pay scale is rated "Standard" in vapi. 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 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 ML Ops, 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 ML Ops interview at EXL, 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 EXL'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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