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Build and deploy ML models using Python, TensorFlow/PyTorch, and MLOps tools; integrate AI features into products and optimize performance.
Assist in building and deploying AI models, deep learning, and NLP solutions using Python, Django, and Flask in a collaborative startup environment.
Research and develop deep-learning models optimized for AI semiconductors (NPUs), including quantization, pruning, and tooling for training and deployment.
Develops and optimizes compilers and quantization/pruning techniques to accelerate AI semiconductor inference, converting models across frameworks and improving performance for NPU deployment.
Data Engineer building modern data pipelines and warehouses using Microsoft Fabric and Azure for enterprise clients, with a focus on cloud-based AI/ML solutions and ETL/ELT workflows.
Develops CUDA Core Libraries that power GPU computing for C++ and Python developers, enabling high-performance computing in deep learning, scientific computing, and data analytics.
Build AI-driven simulation models to predict physical-system behavior for engineering and manufacturing, using deep learning and probabilistic methods in Python.
Build and optimize CUDA Core Libraries (C++/Python) like Thrust and CUDA-Python that power GPU-accelerated software for AI, HPC, and data analytics.
Lead a team building AI/ML models for clinical drug development, from data strategy to production deployment, using Python and cloud platforms to accelerate GSK’s therapy pipelines.
Designs and leads AI systems using LLMs, transformers, and agent frameworks, setting standards for model safety, performance, and MLOps pipelines.
Design and deploy AI agents to automate customer service, supply chain, and recommendations for JD.com’s global e-commerce and logistics platforms using ML, NLP, and reinforcement learning.
Build and deploy ML models to extract insights and predict outcomes for clients, using Python/R and collaborating with cross-functional teams.
Design and deploy deep-learning perception models for autonomous systems, focusing on computer vision and edge deployment using frameworks like PyTorch or TensorFlow.
A freelance machine learning engineer trains and evaluates advanced AI models by solving applied ML tasks, designing benchmarks, and improving datasets for next-generation language models.
Lead a machine learning team to build deep-learning scoring models (pCTR/pCVR) for Sponsored Offers in a large Polish e-commerce marketplace, using Python, PyTorch/TensorFlow, and GCP.
Freelance role training and evaluating advanced AI models on data science topics, requiring deep expertise in ML, NLP, and statistical modeling to improve model reasoning and accuracy.
Lead a machine-learning team building Sponsored Offers scoring models (pCTR/pCVR) for a top Polish e-commerce marketplace, using Python, PyTorch/TensorFlow, and GCP.
Designs and builds generative AI systems using LLMs, agentic architectures, and RAG pipelines, then deploys and monitors them in production.
Build and deploy AI/ML models for Singapore’s energy regulator, focusing on MLOps pipelines, model governance, and translating technical insights for stakeholders.
Build and maintain microservices, APIs, and fullstack features for a Deep Learning-powered AdTech DSP, using Python, JavaScript/Node.js, and modern web tech.
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