1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
15.00 LPA TO 30.00 LPA
Key Responsibilities: - 1. Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. 2. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. 3. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems ...
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)
8.0 Year(s) To 16.0 Year(s)
40.00 LPA TO 65.00 LPA
Position - AI Manager
India - Chennai
Salary - INR 4000000 - 6500000
Experience
8 - 16 Years
Job Description/Preferred Qualifications Key Responsibilities:
• Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success.
• Develop and maintain the infrastructure required for the deployment and execution of algorithms at ...
3 Opening(s)
0 To 8.0 Year(s)
Not Disclosed by Recruiter
Key Responsibilities:
Design, develop, and implement end-to-end computer vision models
Work on use cases such as image classification, object detection, pose estimation, OCR, facial recognition, etc.
Apply deep learning techniques using CNNs, GANs, and transformers for vision-based tasks
Handle large-scale visual data and optimize pipelines for training, inference, and deployment
Collaborate with cross-functional teams including software ...
1 Opening(s)
7.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Role Overview:We are seeking a passionate and hands-on Gen AI Lead who is deeply experienced in the latestdevelopments in Generative AI (including LLMs, RAG, LoRA, QLoRA, etc.), with a strong foundationin Computer Vision, Image Processing, and Video Analytics. This individual will play a pivotal role indesigning, architecting, and deploying full-stack ...
1 Opening(s)
6.0 Year(s) To 14.0 Year(s)
Not Disclosed by Recruiter
Advanced degree in an analytical field (e.g., Data Science, Computer Science,
Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands
on work experience in the space
3.5 - 7 Years of relevant experience in the space
Expertise in mining AI/ML opportunities from open ended business problems
and drive solution design/development while closely collaborating with
engineering, product ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
7.00 LPA TO 34.00 LPA
Data Scientist – Banking and Risk Management
Role Summary:
The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions.
Key Responsibilities:
Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking.
Analyze large datasets from banking systems to identify risk ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...