Wipro is hiring for ML‑Ops Engineer

Apply Here: Apply for ML‑Ops Engineer at Wipro

📌 Job Summary

• Company: Wipro Limited
• Position: ML‑Ops Engineer
• Location: (Location varies by posting – often in Bengaluru / Global) ([careers.wipro.com](https://careers.wipro.com/job/ML‑Ops‑Engineer/115583‑en_US))
• Experience: 5–8 years (typical for MLOps roles at Wipro) :contentReference[oaicite:0]{index=0}
• Job Type: Full‑time

📄 Job Description

As an ML‑Ops Engineer at Wipro, you will bridge the gap between machine learning research and production‑ready systems. You’ll build, automate, and maintain the workflows, infrastructure, and tools needed to train, deploy, monitor, and scale machine learning models. This includes designing robust CI/CD pipelines for ML, ensuring model reliability, and working closely with data scientists and engineering teams to operationalize AI solutions. :contentReference[oaicite:1]{index=1}

Key Responsibilities

• Design and build CI/CD pipelines tailored for ML workflows including model training, testing, and deployment. :contentReference[oaicite:2]{index=2}
• Automate infrastructure using IaC tools and manage scalable compute resources. :contentReference[oaicite:3]{index=3}
• Collaborate with data scientists to deploy and monitor models in production. :contentReference[oaicite:4]{index=4}
• Develop reusable tools for model validation, versioning, and monitoring. :contentReference[oaicite:5]{index=5}
• Implement observability solutions for model performance and drift detection. :contentReference[oaicite:6]{index=6}

💻 Required Skills

• Strong Python programming skills and experience with ML frameworks. :contentReference[oaicite:7]{index=7}
• Hands‑on with cloud platforms (AWS, GCP, Azure) and container orchestration. :contentReference[oaicite:8]{index=8}
• Familiarity with MLOps tools like MLflow, Kubeflow, SageMaker, or streaming frameworks. :contentReference[oaicite:9]{index=9}
• Experience building and maintaining automated workflows for training and deployment. :contentReference[oaicite:10]{index=10}
• Ability to troubleshoot production issues and optimize model pipelines. :contentReference[oaicite:11]{index=11}

💼 Salary Structure

While this specific posting does not list salary details, experienced ML‑Ops engineers in India can typically expect competitive compensation in the range of ₹15 LPA – ₹35 LPA+ with variations based on skills, cloud expertise, and deployment needs (industry salary insights). (industry trend)

📈 Company Overview: Wipro Limited

Wipro Limited is a global technology services and consulting company operating in over 65 countries, delivering digital transformation, cloud, data, AI/ML, and engineering solutions. With a workforce of over 230,000 professionals, Wipro partners with enterprises to solve complex technology challenges and modernize systems. :contentReference[oaicite:12]{index=12}

🌟 Company Culture & Reviews

• Wipro promotes continuous learning and certification opportunities in emerging tech. (industry insight)
• Engineers frequently work on diverse projects spanning analytics, automation, and cloud. (industry insight)
• Work‑life balance and project assignments can vary by team and client engagement. (industry feedback)

💡 How to Prepare for This Role

• Master CI/CD for ML: Practice setting up automated pipelines with tools like Jenkins, GitHub Actions, or GitLab CI.
• Cloud & IaC: Gain hands‑on experience with Terraform, Ansible, and cloud services (AWS/Azure/GCP).
• ML Model Deployment: Learn containerization and orchestration with Docker and Kubernetes.
• Monitoring & Observability: Use tools like Prometheus and Grafana to track model health and performance.

📊 Latest Trends in MLOps

MLOps continues to grow as organizations scale AI solutions, with increased demand for automation of model lifecycle processes, robust monitoring, and integration with DevOps practices. Emphasis on reproducibility, model governance, and drift detection remains strong in 2026. (industry insight)

👍 Pros

• Work on cutting‑edge ML workflows at enterprise scale.
• Exposure to cloud and automation technologies.
• Collaborate with cross‑functional teams including data science and engineering.

👎 Cons

• High expectations for reliability and system uptime.
• Role may require continuous skill upgrades in fast‑evolving MLOps tech.

📌 Final Thoughts

The ML‑Ops Engineer role at Wipro is ideal for professionals who enjoy building scalable machine learning pipelines, integrating AI with production systems, and automating workflows across development and operations. Strong cloud, automation, and ML deployment skills will be key to success. :contentReference[oaicite:13]{index=13}