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Urgent! Machine Learning Operations Job Opening In Pune – Now Hiring Ensono
Machine Learning OperationsPune, IndiaJR012414
**ML Ops Engineer**
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs.
As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates.
The Ensono Core Values unify our diverse talents and are woven into how we do business.
These five traits are the key to achieving our purpose.
**HONESTY, RELIABILITY, COLLABORATION, CURIOSITY, PASSION**
At Ensono, we are building the future of managed services with **AI, automation, and human expertise working together** .
Our **Envision Operating System** is designed to orchestrate predictive, zero-touch operations across mainframe, distributed, and cloud environments.
As an **MLOps Engineer** , you’ll be the **guardian of the machine learning lifecycle** —making sure models built by Data Scientists and deployed by ML Engineers continue to **perform, scale, and deliver business value** in production.
From monitoring drift to automating retraining, you’ll own the workflows that ensure AI doesn’t just launch, but lasts.
This role is perfect for engineers who thrive in the space between **data science, DevOps, and operations** .
You’ll build pipelines, logging frameworks, and monitoring systems that make AI reliable and explainable.
Your work ensures that our **incident predictions, anomaly detections, and optimization models** are not just powerful, but **trusted by Ops teams** and cost-effective for the business.
If you’re a builder who loves creating **end-to-end systems that keep AI alive and useful in the real world** , this is the role for you.
**What You Will Do:**
+ **Lifecycle Automation** – Build workflows for retraining, validation, and redeployment of models to keep them current and reliable.
+ **Monitoring & Observability** – Develop systems to track model performance, drift, cost, and reliability in production environments.
+ **Logging & Explainability** – Ensure every prediction is traceable, explainable, and auditable to build trust with Ops and clients.
+ **Performance & Cost Optimization** – Identify opportunities to improve inference performance while reducing compute/storage costs.
+ **Collaboration with AI/ML Teams** – Partner with Data Scientists and ML Engineers to translate model requirements into production-ready, maintainable workflows.
+ **Tooling & Platform Management** – Standardize and scale the use of ML platforms, frameworks, and monitoring tools across the enterprise.
**We want all new Associates to succeed in their roles at Ensono.
That’s why we’ve outlined the job requirements below.
To be considered for this role, it’s important that you meet all Required Qualifications.
If you do not meet all of the Preferred Qualifications, we still encourage you to apply.**
**Required Skills & Experience**
+ Strong programming skills in **Python** (must-have) with knowledge of **C++ or Java** as a plus.
+ Experience with **Docker, Kubernetes, or similar orchestration platforms** .
+ Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and their production lifecycle.
+ Hands-on experience with **MLOps platforms and tools** (MLflow, Kubeflow, SageMaker, etc.).
+ Strong background in **monitoring, logging, and performance tuning** of production ML systems.
+ Exposure to **Snowflake, ServiceNow data flows, and enterprise IT operations datasets** .
+ Knowledge of cost optimization strategies for AI/ML workloads.
JR012414
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Pune, 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 Machine Learning in Pune, 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 19853 jobs in India and 398 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Ensono is currently hiring and seeking a Machine Learning Operations to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Operations Jobs Pune.
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 Ensono adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Operations Jobs India varies, but the pay scale is rated "Standard" in Pune. 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 Machine Learning Operations 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 Machine Learning Operations, 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 Machine Learning Operations interview at Ensono, 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 Ensono'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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