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LLM Applied Data Scientist (RAG/ NLP)
Applied data scientist at Binance building and optimizing RAG and retrieval/ranking pipelines (embeddings, reranking, query rewriting, GraphRAG) for LLM-powered products like customer service and token reports, and participating in LLM training (SFT, reinforcement learning) and NLP/multimodal content analysis. Core stack: Python/C++, PyTorch, vector databases.
Senior Data Analyst (AI Compliance)
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our…
Binance Accelerator Program - Data Scientist (LLM & Trading)
A Binance Accelerator Program (internship) data scientist building AI-powered financial trading agents on Web3 data: post-training LLMs with SFT/RLHF so they can use Binance's internal trading skills, maintaining benchmark datasets, and iterating agent workflow prototypes. Core stack: LLM post-training frameworks, PyTorch/TensorFlow, Hugging Face, DeepSpeed, vLLM.
LLM Data Scientist/Algorithm Engineer (Top Talent Program)
Join Binance as an LLM Data Scientist/Algorithm Engineer, owning the full LLM pipeline: prompt engineering, RAG QA/search systems, multi-agent architectures, and evaluation pipelines to power customer-service chatbots. Requires 2+ years deep learning/NLP and 1+ year hands-on LLM work, plus English and Chinese proficiency. 100% remote.
MLOPs
Relevant Experience : 4 to 6 years Job Description: Infrastructure & Pipeline Development: Design and maintain Argo Workflows / Argo Eventsbased ML and data processing pipelines across environments (dev / QA / staging…
AI Software Engineer (Research Assistant) (Ref. LAB/26/18)
AI Software Engineer at IRB Barcelona's Biomedical Genomics Lab, building LLM-based and agentic systems (e.g. a human-AI scientific collaboration agent and a Cancer Genome Interpreter chatbot) supporting cancer genomics research. Core stack: Python, LLM APIs, RAG/agents, Git.
Data Scientist Intern
A 6-month on-site Data Science internship in Bengaluru (RR Nagar) working on machine learning, deep learning, and computer vision. The intern trains and deploys ML/DL models with TensorFlow/Keras/PyTorch, optimizes them for edge deployment (OpenVINO/ONNX), and gains MLOps/Docker/CI-CD exposure; pays ₹10,000–12,000/month after an unpaid first month, with possible full-time conversion.
Artificial Intelligence Engineer
Full-time, on-site AI Engineer in Gurugram who designs and develops AI-based applications, builds machine learning models for business use cases, and integrates them into web and mobile platforms, optimizing algorithms for accuracy using Python, TensorFlow, PyTorch, and Scikit-learn.
Senior Data Scientist
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
Consultant(e) Data Engineer - Databricks (H/F/NB)
Data engineering consultant at Trimane, a French data & AI consulting firm, leading data migration projects for clients. Day to day: building and optimizing ELT pipelines, data models, and data-quality controls on Databricks and cloud platforms (Azure, AWS, GCP, Snowflake) with Python, SQL, and Spark.
AI/ML Architect
Hands-on, client-facing AI/ML architect at a Google Cloud AI consulting partner: designs, builds, and ships production ML, generative, and agentic AI systems for enterprise clients, leads a team of engineers, and owns engagements from discovery through handoff on 12–16 week projects. Core stack includes Python, SQL, and Google Cloud (Vertex AI, BigQuery).
Computer Vision Engineer
Develops computer vision and machine learning algorithms end to end that turn imagery and multi-sensor data into scene understanding and accurate real-world 2D-to-3D mapping outputs (reconstruction, localization, depth, registration). Core stack: Python with NumPy, SciPy, OpenCV, and PyTorch, plus modern deep learning architectures.
无人车业务部-自动驾驶决策规划算法工程师(Machine Learning Planner方向)
Autonomous driving decision-planning algorithm engineer in Meituan's unmanned vehicle unit: develops data-driven deep learning/reinforcement learning planners for complex urban driving, builds data closed-loop pipelines (mining, labeling, closed-loop simulation), and deploys lightweight models in C++ on vehicle compute platforms.
Senior Data Scientist
Senior Data Scientist at Persistent (Pune) building enterprise generative-AI for healthcare: fine-tuning LLMs with Python, PyTorch, Hugging Face, LoRA/PEFT, building RAG applications and model evaluation/safety frameworks, with experiment tracking via MLflow or Weights & Biases.

Applied Data Scientist
Applied Data Scientist at Personetics (a cognitive-banking fintech) in Giv'atayim/Tel Aviv, building models that turn raw bank transaction data into customer-facing financial insights. Work spans classical ML on tabular data, deep learning, LLM pipelines and agentic flows, taken from POC to production in a regulated banking environment.
Python Developer
Medior Python Developer on the Data Science & AI team (~15 people) of the Netherlands Forensic Institute, building production-grade models for forensic investigations with police and prosecutors. Core stack: advanced Python, testing and CI/CD (Azure/GitLab), Docker/Kubernetes, PyTorch/HuggingFace and LLM tooling.
Senior Data Scientist / Lead
Senior Data Scientist (7+ yrs) at Movate Technologies in Bengaluru, designing, validating, and optimizing statistical, machine learning, and deep learning models for business problems like classification, forecasting, and segmentation, using Python and SQL; GenAI/LLM exposure is a plus.
Lead Data Scientist
Lead Data Scientist at Navi, a Bengaluru fintech offering loans, UPI, insurance and mutual funds. You set technical direction for the data science team, deliver production ML/GenAI solutions across lending, collections, KYC and ads using tools like TensorFlow and PySpark, and mentor data scientists.



Senior Machine Learning Engineer, Ads
Build and scale ML-driven ad ranking and recommendation models to power personalized ads for Roblox’s growing user base and advertisers.