aimlroles

Machine Learning Developer

Bringle Excellence Open · verified Oct 22, 2026
On-site Thane Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at Bringle Excellence. Thane · full-time.

Pay not stated Machine Learning Engineering salary

RoleMachine Learning Engineering
SeniorityMid-level
LocationThane
WorkplaceOn-site
EmploymentFull-time
PostedNov 24, 2016 · 9y ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Help shape, develop and extend AI technology as part of the engineering team
  • Customize machine learning platforms and algorithms for the platform’s needs
  • Build technology from scratch and learn unfamiliar tools through instruction or self-training

What you bring

  • You have two to four years of relevant experience and a bachelor’s or master’s degree
  • You understand machine learning fundamentals and have familiarity with deep learning for NLP
  • You can use Java, Python and machine learning tools such as Spark MLlib or Scikit-learn

Who this fits

This mid-level, onsite role in Thane suits a self-directed builder who enjoys creating things from scratch. You’ll work as part of an engineering team and need to learn new technology quickly.

From the employer

Bringle Academy is extremely Happy and Proud to be among the Trusted Brands of Thane as per the article published by Times of India (TOI) dated 28th Aug 2016.


An Academy that teaches it all.

What we want you to do…

You’ll be a critical member of an engineering team working on architecting, developing and augmenting cutting edge AI technology, which is a crucial part of our next generation AI platform.


Who you are…

You are a self-motivated, dynamic professional who loves to build things from scratch. Platform. Tools, languages do not matter you.

You also meet most (if not all) of the following requirements:

2-4 years of relevant work experience

Bachelor’s/Master’s degree

Familiar with Java / J2EE, Python, Prolog, Haskell, Scala

Strong machine Learning fundamentals.

Familiarity with Deep learning for NLP

Familiar with Apache Spark MLlib , Scikit Learn , Tensor Flow,torch , caffe

Expertise with Natural Language Processing platforms like Opennlp, NLTK, spacy, Stanford NLP etc a big plus

Ability to customize Machine Learning platforms and algorithms.

Understands underlying algorithms behind Machine Learning

Familiarity with AWS, Linux , Unix

Familiarity with Get , SVN , Jira

Familiarity with Agile Tools and Methodologies

Good verbal and written communication skills.

Ability to learn technology quickly through instruction and self-training.

You are Self Motivated to get things done and a Self-starter

All your information will be kept confidential according to EEO guidelines.