Job Description
Job Title:  Mlops Engineer
Req Id:  93003
City:  Bengaluru
State/Province:  Karnataka
Posting Start Date:  9/1/25
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description: 

Job Description

As a Machine Learning Engineer, you’ll have the opportunity to work alongside industry experts researching, developing, and applying cutting-edge machine learning and artificial intelligence algorithms to build innovative technologies, services, and products that solve the company's hardest problems and accelerate Customer’s core growth.

In this role you will combine your software engineering skills and interest in ML and AI to productionize ML models on GCP. You will build reusable tools and components to enable codeless deployments of ML modeling pipelines. Your work will unleash the next generation of customer experiences and transform the way that we operate day-to-day.  

We're seeking a talented Machine Learning Engineer to join our team and you'll be responsible for developing and deploying ML models that personalize product recommendations and deliver the right products at the right time.

What you'll do:

  • Deploy ML models to GCP: Design and implement batch pipelines and real-time microservices for millions of ecommerce customers.
  • Personalize the shopping experience: Utilize cutting-edge models to predict customer preferences and recommend relevant products.
  • Collaborate with cross-functional teams: Partner with product and engineering teams to integrate ML solutions seamlessly.
  • Optimize performance: Leverage best practices like multi-region deployment, traffic splitting, and autoscaling to ensure the efficiency of online model endpoints in Seldon.
  • Monitor and debug models in production: Identify and resolve issues to maintain the quality of our ML systems.

What you'll bring:

  • 4-6 years of experience in Machine Learning Engineering.
  • Must have Strong Python skill set with adequate SQL knowledge.
  • Deep understanding of the Model Deployment Lifecycle, including training and serving pipelines.
  • Familiarity with ML workflows such as Kubeflow, Airflow, MLFlow, or Argo.
  • Experience with model monitoring, debugging, latency optimization, and online inference integration.

Bonus points for exposure to PyTorch, TensorFlow, GCP/AWS, and recommendation/ranking models.
 
Mandatory Skills: AI Cognitive .

 

Experience: 5-8 Years .

 

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.
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