48 Job openings found

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 ...
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)
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)
0 To 1.0 Year(s)
Not Disclosed by Recruiter
Technical Skills Strong programming experience in Python (mandatory) Hands-on experience with ML/AI frameworks: TensorFlow, PyTorch, Keras, Scikit-learn Knowledge of Machine Learning, Deep Learning, and statistical modeling Experience with NLP (text classification, chatbots, LLMs) or Computer Vision is a plus Data handling using NumPy, Pandas and visualization tools Experience with SQL / NoSQL databases Familiarity with REST APIs ...
3 Opening(s)
8.0 Year(s) To 10.0 Year(s)
15.00 LPA TO 27.00 LPA
We are hiring an AI Engineer – Expert to provide technical leadership across enterprise-grade AI / ML / RPA programs. The role will act as the architectural authority, ensuring best-in-class solution design, implementation excellence, and robust governance across all AI deployments.   Key Responsibilities Provide technical leadership and expert guidance across AI / ML / RPA solution ...
2 Opening(s)
4.0 Year(s) To 6.0 Year(s)
15.00 LPA TO 24.00 LPA
Role Overview We are seeking a high-calibre AI Engineer – Lead to spearhead end-to-end design, deployment, and lifecycle management of AI/ML solutions. The role is critical to driving automation, predictive analytics, and data-driven intelligence across business use cases, ensuring scalable and compliant AI deployments. Key Responsibilities Design, develop, and deploy AI/ML models aligned to defined business use ...
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 ...

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