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Build and deploy generative AI and machine learning solutions at Capgemini's Mississauga office: fine-tuning LLMs with PyTorch/TensorFlow/Keras, developing RAG applications with LangChain and LlamaIndex, optimizing vector search, and integrating AI-powered APIs into enterprise systems within Agile teams.
Lead Data Scientist at Capgemini Invent (Noida, India) building ML/DL solutions for client transformation projects: predictive and unsupervised modeling, NLP with LLMs/RAG and agentic AI, graph analytics, optimization, simulation, and production MLOps using Python, TensorFlow/PyTorch, Spark, and cloud platforms (Azure/AWS/GCP).
Capgemini is hiring a Python & GenAI Engineer in Bangalore to build generative AI applications: developing RAG pipelines, vector search and AI agents, prompt engineering and fine-tuning (LoRA/QLoRA), REST API integration, and deploying AI solutions in cloud and containerized environments using Python, LangChain/LlamaIndex, and Azure/AWS/GCP.
Associate Data Scientist in Capgemini's AI & Analytics consulting practice in Toronto, working with client teams across industries to clean and model data, build machine learning and deep learning solutions, and present findings to client executives. Core tech: Python, R, PyTorch/TensorFlow/Keras, Spark/Hadoop/Kafka, and AWS/Azure/GCP.
Senior engineer at Capgemini designing and delivering scalable Python back-end solutions in cloud environments, contributing to solution architecture, and supporting AI/GenAI initiatives including LLM-based solutions. Core stack: Python (Flask, SQLAlchemy, Celery), cloud, plus AI tooling like LangChain, embeddings, and vector databases.
Senior engineer at Capgemini in Wrocław who designs and delivers scalable Python back-end solutions in cloud environments, contributes to solution architecture, supports AI/GenAI (LLM) initiatives, and mentors teammates. Requires 5+ years of Python, cloud experience, and fluent German (min B2).
Leads the design and implementation of enterprise AI, ML, and Generative AI solutions at Capgemini in Singapore: architecting end-to-end data-driven systems, owning the MLOps lifecycle, and building NLP, recommender, and computer vision models using Python, TensorFlow/Keras, PySpark, Hive, and SQL.
Python GenAI Engineer focused on developing Generative AI applications, building RAG pipelines, and optimizing LLMs using frameworks like LangChain and Hugging Face. The role involves designing prompts, fine-tuning models, and deploying AI solutions in cloud environments.
Sasso Consulting is recruiting five Data Scientists for a client in Gauteng to design, build and deploy statistical and machine-learning models in enterprise IT environments. The day-to-day work spans Python and SQL analysis, predictive modelling, feature engineering, MLOps and cloud ML platforms, with a strong emphasis on translating insights for business stakeholders.
An AI Software Engineer in Pretoria develops, tests, and deploys AI-powered applications, integrating and optimizing machine learning models in production and building scalable data pipelines with data scientists and researchers. Core stack: Python/Java/C++, TensorFlow/PyTorch/Keras, AWS/Azure/GCP, Docker/Kubernetes; hybrid work model.
Builds and optimizes ML infrastructure for Nuro’s autonomous vehicle fleet, focusing on model compression, deployment, and performance improvements (e.g., quantization, distillation) to enhance real-world autonomy.
Builds and optimizes ML infrastructure for Nuro’s autonomous vehicle fleet, focusing on model pipelines, compilers (e.g., FTL), and deployment of optimized models for safe on-road navigation.
SI/ML Engineer - TS/SCI with Polygraph required Why This is an Exciting Role: BI&A is seeking highly motivated and skilled SI/ML Engineers to join our team and contribute to innovative Super Intelligence (SI) and…
Designs and implements AI software systems, using machine learning to build intelligent applications and working with cross-functional teams to turn data into scalable solutions. Core skills are ML/deep learning and statistics, with hands-on coding in Python, Go, Java, or R; TensorFlow/Keras and big data tools are a plus.
Responsibilities & Requirements We are seeking an experienced academic in the area of AI and Big Data with a PhD from a recognized university. The position is offered at the Associate Professor level. The…
At Viaduct, we are developing an end-to-end AI-powered machine learning platform to empower industry to build safer, more intelligent, and reliable assets. Our platform increases the accessibility and actionability of…
Backend Software Engineer at Citibeats in Barcelona, building and maintaining the company's AI/NLP social-intelligence platform: developing new features, RESTful API endpoints and micro-services, plus debugging and writing documentation. Core stack is Python, Django and SQL, with optional exposure to ML/NLP tooling and AWS.
Job Descriptions: Membantu dalam penyiapan, pemasangan, dan konfigurasi perangkat keras TI, termasuk laptop, PC, monitor, printer, dan perangkat tambahan TI lainnya. Melakukan pemecahan masalah perangkat keras dasar…
Jobdesc: Mengawasi, memelihara, dan memastikan kendala seluruh infrastruktur IT perusahaan, termasuk server internal/cloud, jaringan LAN/WAN, perangkat keras (PC/Laptop). dan perangkat lunak operasional…
Samudera Indonesia offers a truly global and collaborative work experience. You’ll team up with some of the best and brightest people in many locations in Indonesia and beyond. And you’ll discover a world of…
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