ML Engineer, Wipro

Machine Learning Engineer, Python
Karnataka, India, Bengaluru
January 8, 2026
Regular

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Job Description

As an ML Engineer at Wipro, they will research, design, and develop advanced machine learning and computer vision models to solve real-world enterprise problems. The role involves building scalable AI systems, shaping applied AI strategies, collaborating with cross-functional teams, and contributing to innovation across cloud-based, data-driven environments.

Date Posted: December 5, 2025

Expiration Date: NA

Experience: 2–5 Years

Job ID: NA

Apply: Apply Now

Key Responsibilities

  • Experimentation, designing, developing, and optimizing machine learning as well as computer vision algorithms
  • Constructing and modifying deep learning models based on convolutional neural networks (CNNs) for the purposes of image categorization and detection of objects
  • Prototyping and assessing machine learning methods for actual, very large datasets
  • Forming applied artificial intelligence and machine learning solutions by taking part in the customers’ activities and discovery workshops
  • Building, training, testing, and tuning neural networks
  • Creating machine-learning systems that can scale and products that are data-driven
  • Working with teams from different functions in an Agile environment
  • Advocating for machine learning and artificial intelligence through research, teaching, or community involvement

Essential Qualifications

  • At least 2 years to a maximum of 5 years in the field of machine learning or artificial intelligence
  • A programming background in Python, Java, or C++ would be very advantageous
  • Practical experience with deep learning frameworks like TensorFlow, Caffe, or Torch
  • Familiarity with supervised and unsupervised learning methods
  • Understanding of CNNs, statistical modeling, and data analysis
  • Working experience on cloud services like AWS, Azure, or Google Cloud

Preferred Qualifications

  • Knowledge of Big Data Platforms –Hadoop, Spark, Hive, or Kafka.
  • Familiarity with OpenCV, Google Cloud Vision, or other similar computer vision libraries.
  • Experience with NLP, Recommendation Systems, Ranking Systems, and Pattern Recognition.
  • Networking or publications in conferences/communities related to ML and AI.

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