Machine Learning Engineer Jobs

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Showing 1-6 of 6 results

Roku

Senior Manager - Machine Learn

AI Machine Learning and Data Analytics
18.00Lacs
Bengaluru
Hybrid
Full-Time
3-6 Years
Machine LearningExperimentation
Job ID 17026Posted 1st May '26Ends 30th Jun '26
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Roku

Senior Machine Learning, Ops

AI Machine Learning and Data Analytics
18.00Lacs
Bengaluru
Hybrid
Full-Time
3-6 Years
AlgorithmsMachine LearningAPIsMonitoring
Job ID 17025Posted 1st May '26Ends 30th Jun '26
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Inmobi

Machine Learning Engineer

AI Machine Learning and Data Analytics
14.00Lacs
Bengaluru
ON_SITE
Full-Time
3-6 Years
PythonTensorFlowData ModellingNeural NetworksStatistics
Job ID 16576Posted 31st Mar '26Ends 30th May '26
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Haleon

Sr Machine Learning Engineer

AI Machine Learning and Data Analytics
31.00Lacs
Bengaluru
ON_SITE
Full-Time
6-10 Years
PythonTensorFlowData ModellingNeural NetworksStatistics
Job ID 16490Posted 21st Mar '26Ends 20th May '26
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FCSSOFTWARE

Sr Machine Learning Engineer

AI Machine Learning and Data Analytics
28.00Lacs
Noida
Remote
Full-Time
10-12 Years
PythonTensorFlowData ModellingNeural NetworksStatistics
Job ID 16394Posted 18th Mar '26Ends 17th May '26
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MYNTRA

Machine Learning Engineer

AI Machine Learning and Data Analytics
13.00Lacs
Bengaluru
ON_SITE
Full-Time
3-6 Years
PythonTensorFlowData ModellingNeural NetworksStatistics
Job ID 16336Posted 17th Mar '26Ends 16th May '26
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Machine Learning Engineer Jobs in India

A Machine Learning Engineer specializes in designing and implementing algorithms and models that enable computers to learn from and make data-based decisions. This role is pivotal in the tech industry's efforts to innovate and improve products, services, and processes through artificial intelligence (AI) and machine learning (ML). Machine Learning Engineers apply their data science, programming, and analytics knowledge to develop systems that can learn and adapt without explicit instructions.

Unojobs, a leading job search platform, highlights an extensive range of career opportunities across India, specifically targeting roles for Machine Learning Engineers. Professionals with a deep knowledge of machine learning and statistical analysis are pivotal in designing and implementing advanced machine learning systems.

Hands-on experience in software engineering and proficiency in neural networks and exploratory data analysis enable the development of robust software systems. Conducting machine learning tests is essential for refining these systems, ensuring they meet the complex demands of today's technology landscape.

What does a machine learning engineer do?

A Machine Learning Engineer is critical in developing and deploying AI systems. Their diverse responsibilities include creating models that can process and learn from data. Here's an overview of key roles:

  • Algorithm Development: Designing and implementing machine learning algorithms to solve specific problems.
  • Model Training and Testing: Developing models and refining them through training and testing to ensure they perform accurately.
  • Data Analysis: Analyzing and processing large datasets to identify patterns and insights that can inform model development.
  • System Integration: Integrating machine learning models into existing systems and processes to enhance functionality and efficiency.
  • Performance Monitoring: Continuously monitoring model performance to identify improvements or updates needed to maintain accuracy and relevance.

Machine Learning Engineer requirements: What you need to know.

The role of machine learning experts requires a strong foundation in both theoretical knowledge and practical skills. Here are the typical eligibility criteria for Machine Learning Engineers:

  • Educational Background: An advanced degree in computer science, data science, mathematics, or a related field is often the minimum requirement. Many employers prefer candidates with a master's degree or Ph.D. in machine learning feild, artificial intelligence, or related specialties.

  • Programming Skills: Proficiency in programming languages such as Python, R, and Java is essential, as is experience with machine learning frameworks like TensorFlow or PyTorch.

  • Data Science Knowledge: A deep understanding of data processing, data analysis, predictive analytics, and Mathematics and Statistics is crucial for developing effective machine learning models.

  • Analytical Skills: The ability to analyze complex cluster analysis and extract meaningful insights is key to informing model development and refinement.

  • Problem-Solving Abilities: Strong problem-solving skills are necessary to design algorithms that address specific challenges or opportunities.

Career Opportunities for Machine Learning Engineers in India

India's tech industry is rapidly embracing AI and machine learning, creating numerous opportunities for Machine Learning Engineers across various sectors. Below are some promising career paths for Machine Learning expertise in various Indian cities:

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Showing 6 jobs from 5 companies.

Top hiring cities: Bengaluru, Noida.

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