Ml Engineer- Bangalore- Consultant/Assistant Manager

Deloitte Consulting

3 - 7 years

4 - 8 Lacs

bengaluru

Posted:5 hours ago| Platform:

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Skills Required

machine learning engineer tensorflow pytorch cloud platforms aws sagemaker deploying models keras machine learning ml pipelines ml

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & 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.

Preferred candidate profile

Educational Background:
Bachelors/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.

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