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 ...
45 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
We are hiring for the profile- Data Scientist
Skills
Required Skills:Data Science, Machine Learning, Deep Learning, Python, NLP
Desired Skills: Computer Vision
Roles and responsibilities
Experience in Data Modelling, R, Python, SQL, Data Science, Machine Learning, Deep Learning,NLP, Statistics
Have ability to solve Business problems using Data
Should possess extensive knowledge of and experience in applying data ...
1 Opening(s)
4.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Responsibilities: Design, develop, and implement machine learning models and algorithms to solve complexbusiness problems. Build and maintain scalable and reliable ML pipelines for data ingestion, preprocessing,feature engineering, model training, evaluation, and deployment. Deploy and monitor ML models in production environments, ensuring performance,reliability, and scalability. Collaborate closely with data scientists, engineers, ...
6 Opening(s)
3.5 Year(s) To 13.0 Year(s)
8.00 LPA TO 30.00 LPA
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. ...
2 Opening(s)
2.0 Year(s) To 3.0 Year(s)
0.00 LPA TO 0.00 LPA
Key Responsibilities
Model Development & Training
○ Design, train, and fine-tune deep learning and machine learning models (transformers, CNNs, RNNs, gradient boosting, etc.).
○ Implement data preprocessing pipelines, feature extraction, and
augmentation techniques.
○ Conduct hyperparameter optimization and experiment management. ● Evaluation & Optimization
○ Run model evaluations, benchmark against baselines, and perform ablation studies.
○ ...
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 ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
BASIC PURPOSE:
The primary responsibilities of the AWS Machine Learning Engineer are to design, develop and deploy Machine learning models using AI/ML technologies within the AWS framework. This role will collaborate closely with the product and software development teams to operationalize these ML solutions for automating key business processes across the ...
3 Opening(s)
3.5 Year(s) To 5.4 Year(s)
15.00 LPA TO 20.00 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 8.0 Year(s)
2.00 LPA TO 6.00 LPA
Hi All,
We are Hiring for AI/ML Engine
AI/ML Engineer responsible for building core ML infrastructure that powers adaptive learning for 100K+ students
Develop recommendation engines, predictive analytics, computer vision, and NLP systems using Python, TensorFlow, and PyTorch.
Task:
Design and train ML models for student behavior prediction and content recommendation
Build recommendation systems, personalizing study ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
17.00 LPA TO 17.00 LPA
Key Responsibilities
Develop and optimize computer vision models for object detection, segmentation, classification, tracking, OCR, etc.
Build end-to-end deep learning pipelines from data collection, preprocessing, training, tuning, and deployment.
Implement advanced image processing techniques for feature extraction and image enhancement.
Design and train models using CNNs, RNNs, Transformers, Vision Transformers (ViT), GANs, and diffusion ...