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1–3 jobs· newest first

Full-Stack AI Engineer / Data Scientist – Agentic SystemsNew
Roche · Hyderabad, India
Associate Machine Learning Engineer
ImagineArt · Islamabad
On-site · Full-time · Associate
VLA 算法研究实习生（装载机方向）
Caterpillar Inc. · Wuxi, China
Internship · Intern

+10K new in the last hour

Full-Stack AI Engineer / Data Scientist – Agentic Systems

Roche · Posted Nov 11, 2026

Hyderabad, Telangana, India
7+ years

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Lead end‑to‑end development of agentic generative AI systems and classical ML solutions, combining full‑stack engineering, MLOps, and data science.

Responsibilities

Design and build advanced AI agentic systems and state machines
Develop multimodal foundation model workflows
Implement Model Context Protocol servers/clients
Integrate AI capabilities into scalable, fair, and ethical end‑user applications
Leverage AI coding agents to accelerate full‑stack development cycles

Requirements

Bachelor's or higher in Computer Science, Physics, Statistics, Mathematics, or related field

Skills

Python TypeScript LangChain or similar LLM orchestration frameworks AWS (including Bedrock, SageMaker)Vector databases (e.g., AWS OpenSearch)Graph databases Snowflake SQL NoSQL Data lakes Docker CI/CD Infrastructure as Code Statistical analysis Feature engineering Prompt engineering LLM fine‑tuning Model inference optimization A/B testing Observability tools LangChain AWS Bedrock SageMaker AWS OpenSearch

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Associate Machine Learning Engineer

ImagineArt · Posted Nov 11, 2026

Islamabad
On-site
Full-time · Associate
0–2 years

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Build and deploy machine learning models for real‑world AI products, including generative and deep learning systems.

Responsibilities

Develop, train, evaluate, and improve machine learning models
Work with deep learning architectures and modern ML frameworks
Assist in implementing and experimenting with neural networks, transformers, and generative models
Perform data preprocessing, feature engineering, model evaluation, and error analysis
Experiment with different model architectures, training configurations, and hyperparameters

Requirements

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
Nice to have: Exposure to Generative AI
Nice to have: LLMs
Nice to have: diffusion models
Nice to have: computer vision

Skills

Python PyTorch TensorFlow NumPy Pandas Scikit-learn

VLA 算法研究实习生（装载机方向）

Caterpillar Inc. · Posted Nov 9, 2026

Wuxi, Jiangsu, China
Internship · Intern

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参与装载机作业场景下 VLA 模型的研发、训练与效果优化，负责多模态数据处理与模型部署。

Responsibilities

参与装载机作业场景下 VLA 模型的研发、训练与效果优化。
负责视觉、语言指令、机器状态及动作等多模态数据的清洗、同步、处理与训练数据集构建。
参与 π（Pi）系列、GR00T 等 VLA 模型的复现、适配与微调，探索适用于装载机作业的观测输入、动作表示和策略学习方法。
参与模型评测、推理与部署优化，支持算法在仿真环境及低成本装载机开发平台上的集成与验证。
跟进 VLA、模仿学习及具身智能相关技术，开展对比实验、失败案例分析和技术验证。

Requirements

Bachelor's degree in Computer Science or related field
Nice to have: VLA
Nice to have: imitation learning
Nice to have: reinforcement learning
Nice to have: autonomous driving

Skills

Python PyTorch Transformer vision-language models multi-modal learning Pi series GR00T ROS ROS2

model inference optimization

pretrained models

diffusion models

backpropagation

gradient descent

deep learning architectures

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model inference optimization

distributed training

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