Transformer-based models jobs

Senior Data Scientist

Figure Lending · Posted Nov 12, 2026

Open

Hybrid
Full-time · Senior
$132K–$198K per year
5+ years

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Senior Data Scientist

Figure Lending · Posted Nov 12, 2026

Open

Hybrid
Full-time · Senior
$132K–$198K per year
5+ years

Apply with Referso

GPU Compute & MLIR Compiler Principal Engineer — AI Workloads

Qualcomm · Posted Nov 12, 2026

Open

Bangalore, India
On-site
Full-time · Principal
8+ years

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Drive technical direction and execution of AI and Generative AI workloads on GPU platforms.

Responsibilities

Lead exploration and optimization of emerging workloads including LLMs, transformer-based models, computer vision, and other AI/ML applications.
Collaborate across architecture, compiler technologies and frameworks such as TVM, MLIR, and IREE, software, performance, and product teams to drive solutions from early exploration through product-quality implementation.
Provide technical leadership, conduct design reviews, and mentor engineers working across GPU AI initiatives.
Develop and optimize GPU solutions leveraging capabilities such as matrix acceleration, mixed-precision computation, quantization, and other hardware acceleration features.
Analyze end-to-end AI workload performance and identify bottlenecks across models, frameworks, compilers, runtimes, GPU kernels, and hardware architecture.

Requirements

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field
Master's degree in Engineering, Information Systems, Computer Science, or related field
PhD in Engineering, Information Systems, Computer Science, or related field

Skills

Systems Engineering

Digital: Artificial Intelligence (AI)

ClifyX, INC · Posted Nov 11, 2026

Open

Delhi, India
Mid
₹45K–₹100K per month
2–4 years

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AIML Developer with strong expertise in Machine Learning and Deep Learning, building, deploying, and optimizing AI/ML models for image processing, NLP, and forecasting.

Compensation

Rs45,000.00 - Rs100,000.00 Monthly NOOT

Responsibilities

Strong experience in Machine Learning and Deep Learning including supervised and unsupervised learning models
Hands-on expertise in image processing & computer vision including image classification using deep learning (CNNs| transfer learning)
Knowledge of image annotation workflows and dataset preparation
Experience building and deploying deep learning models using PyTorch or TensorFlow
Good understanding of NLP models especially semantic search embeddings and transformer-based models

Skills

Machine Learning Deep Learning Image Processing Computer Vision CNNs PyTorch TensorFlow

Transformer-based models jobs

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