3 Opening(s)
8.0 Year(s) To 13.0 Year(s)
16.00 LPA TO 26.00 LPA
Role : Application Developer Role Description : Design, build and configure applications to meet business process and application requirements. ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
10.00 LPA TO 18.00 LPA
About the role
You will join a team of talented and friendly Data Scientists in Machine Learning Operation (MLOPs) and AI (Artificial Intelligence) as a Data Science Squad member.
Team develops state-of-the-art Machine Learning-powered services for automated Supply Chain optimisation, Pricing strategy improvements, and Service Lifecycle Management including Generative AI-powered Knowledge management ...
1 Opening(s)
4.0 Year(s) To 15.0 Year(s)
30.00 LPA TO 90.00 LPA
Job Role : Data Scientist
Exp : 4+ Years
Location: Singapore ( onsite)
Qualifications:
Experience with ML models is a must Proven experience as a Data Scientist, Data Analyst, or similar role, specifically in the Telecom domain or with/for a Telecom company involved in OPEX analysis. Strong knowledge of statistical analysis, data modeling, machine ...
1 Opening(s)
4.0 Year(s) To 15.0 Year(s)
30.00 LPA TO 90.00 LPA
Job Role : Data Scientist
Location: Tokyo, Japan ( onsite)
Exp: 4+ Years
Experience with ML models is a must Proven experience as a Data Scientist, Data Analyst, or similar role, specifically in the Telecom domain or with/for a Telecom company involved in OPEX analysis. Strong knowledge of statistical analysis, data modeling, machine ...
5 Opening(s)
5.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Key Responsibilities:
Model, develop, and validate robotics and agent-oriented software solutions.
Apply core statistical and graphical modeling skills to solve complex problems.
Train and develop transformer-based models for both tech-related and image-based applications.
Work with reinforcement learning techniques to optimize agent behavior and decision-making.
Collaborate with cross-functional teams to integrate machine learning models into production ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Key Purpose & Responsibilities:
A senior A.I. Developer, with potential leadership qualities, to be able to guide the analytics team with their
expertise and knowledge of the field.
Deliver A.I. based products / submodules / patches as required
Adhering to expected quality standards, including testing and code reviews of A.I. repo
A.I. pipeline architecting and ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 15.00 LPA
Responsibilities
As a Senior ML Engineer, you will lead the design, development, and deployment of advanced
computer vision systems that power AI automation across diverse operational workflows. You
will take ownership of the entire solution lifecycle, from problem scoping, model development, to
deployment and performance monitoring, with a team of ML engineers.
Lead design and ...
5 Opening(s)
4.0 Year(s) To 9.0 Year(s)
Not Disclosed by Recruiter
Job Details:
Job Title: AI Engineer
Experience: 4 years
Location:Chennai
Role Overview:
We are hiring a AI Engineer for a leading product-based company in the semiconductor/manufacturing domain.
Key Responsibilities:
This position involves developing advanced image processing algorithms for the wafer inspection.
Deep understanding and application knowledge on the machine learning and computer vision, familiar with major deep-learning architecture, like CNN, GAN, Transformer.
Strong hands-on ...
1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
35.00 LPA TO 40.00 LPA
Position Overview
We are seeking a highly skilled and forward-thinking AI Engineer specialized in Large Language Models (LLMs) to design, develop, and deploy innovative AI-powered applications and intelligent agents. The ideal candidate will possess deep expertise in LLM engineering, including advanced prompt engineering strategies, fine-tuning, evaluation methodologies, and the development of ...
2 Opening(s)
1.0 Year(s) To 3.0 Year(s)
4.00 LPA TO 17.00 LPA
Job Description:-
Identify the Process to Automate
Look for repetitive, rule-based, or data-heavy tasks.
Examples: invoice processing, customer support queries, recruitment screening, demand forecasting.
Analyze & Map the Workflow
Break the process into input → action → output.
Understand which parts need human judgment and which can be automated.
Choose the Right AI Technique
NLP (Natural Language Processing): For text, ...