Deloitte US GLS India Bangalore Machine Learning Engineer Posts | Bachelor’s Degree/Master’s Degree | Apply Now

Oct 21, 2025 | IT Jobs , Deloitte | 0 comments

Deloitte US GLS India is a leading multinational professional service providing company.

In the latest job announcement, Deloitte announces job vacancies for Machine Learning Engineer posts, with work location in Bangalore.

Under Deloitte Bangalore Machine Learning Engineer 2025 Jobs, candidates having required skills in Python, Cloud, and DevOps can apply.

The selected candidate will be recruited with a permanent and full-time job.

An Interested and qualified candidate has to apply through online mode.

Job Designation: Machine Learning Engineer.

Job Code: 88061.

Education Qualification: Bachelor’s Degree/Master’s Degree.

Experience Level: 4 to 7 years.

Job Location: Bangalore.

Apply Mode: Online.

Key Responsibilities

  • Collaborate with business stakeholders to understand requirements and translate them into ML problem statements.
  • Develop and deploy machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
  • Build end-to-end ML pipelines from data ingestion, preprocessing, feature engineering to training and deployment.
  • Work with structured and unstructured data, applying advanced data preprocessing and augmentation techniques.
  • Integrate ML models into scalable backend systems or APIs.
  • Monitor model performance and design model evaluation/operationalization metrics.
  • Deployment of models using cloud platforms such as AWS Sagemaker, Azure ML, or GCP AI Platform.
  • Collaborate using Git, participate in code reviews, and follow CI/CD and DevOps best practices.

Job Requirements

  • 4-7 yrs of experience.
  • Educational Background: Bachelor’s/Master’s degree in Computer Science, Engineering, Statistics, or related fields.
  • Programming: Proficient in Python with solid knowledge of data science libraries such as NumPy, pandas, scikit-learn, etc.

AI/ML Expertise:

  • Strong hands-on experience in machine learning, deep learning, and model deployment.
  • Experience with TensorFlow, PyTorch, Keras, or equivalent frameworks.
  • Understanding of feature engineering, model selection, and hyperparameter tuning.

Data & Database Skills:

  • Proficiency in SQL and experience working with relational and NoSQL databases.

Cloud & DevOps:

  • Familiarity with Docker, and cloud deployments.

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication and ability to work independently or as part of a collaborative team.

Nice to Have:

  • Experience with cloud-based ML platforms like AWS EC2/Lambda/Sagemaker, Azure, or GCP.
  • Exposure to MLOps tools and practices (e.g., model versioning, monitoring, A/B testing).

How to apply:

Interested and qualified job applicants have to apply through online mode, by initially registering with Deloitte career portal and login in to apply.

Apply online:

https://southasiacareers.deloitte.com/job/Bengaluru-T&T-I-Cyber-D&R-Machine-Learning-Engineer-I-AM-I-Bengaluru/46409544/

For more information about Deloitte vacancies, visit the Deloitte Recruitment page.

Subscribe for Job Alerts

Join our mailing list to receive the latest news and updates from jobalertshub.com.

Subscribe

Related Organizations

Organization Vacancies
Tech Mahindra Recruitment 1 Vacancies
HCL Recruitment 1 Vacancies
ITC Infotech Recruitment 1 Vacancies
TCS Recruitment -
Capgemini Recruitment -
Cognizant Recruitment -
Wipro Recruitment -
Siemens Recruitment -
IBM Recruitment -
Deloitte Recruitment -
CGI Recruitment -
Accenture Recruitment -
NTT DATA Recruitment -
Amazon Recruitment -
DXC Technology Recruitment -
Infosys Recruitment -
Oracle Recruitment -
S&P Global Recruitment -
Cyient Recruitment -
Hitachi Consulting Recruitment -

0 Comments

Leave a reply

Your email address will not be published. Required fields are marked *


Follow Us

Subscribe For Job Alerts


Join our Telegram Community
Subscribe To Our Newsletter

Subscribe For Jobalerts

Join our mailing list to receive the latest job news and updates from our team.