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Software Engineer (Python & AI Solutions)
The Software Engineer will design and build cloud-native, AI-enabled backend services and data pipelines to support risk and compliance initiatives. The role involves working with Python to integrate AI/ML models into production systems within a hybrid work environment.
Mortgage Quantitative Analyst, AVP
Job Description We are seeking Quantitative Analyst (AVP) to join our Markets Quantitative Analysis team in New York City. This is a impactful role for an individual with expertise in RMBS securitized products and/or…
Data Scientist/ML Engineer
Ambush is hiring a Machine Learning Engineer (remote, Porto Alegre, Brazil) to design, build, and deploy AI-enhanced applications, focusing on Python (FastAPI) backend orchestration, LLM workflows with LangChain/LangGraph/OpenAI SDK, and secure, scalable deployment of AI services on cloud platforms like GCP, AWS, or Azure.
Software Engineer
Senior Java engineer (Forward Deployed Engineer for financing & securitization) embedded with client teams, building production-grade trading, risk, and ops services end to end. Core stack: Java 17+/Spring Boot and Python microservices (REST/gRPC), OpenShift/Kubernetes, CI/CD (Tekton/Jenkins), Oracle/SQL Server/MongoDB, Kafka. Hybrid (3 days onsite) in Mississauga; 6+ month contract-to-hire.
Machine Learning Engineer, Part-Time AI Model Development - Remote (United States)
• $80–$140 per hour • 100% remote • Part-time • Fully flexible schedule Work on the cutting edge of AI, on your own schedule, and get paid for the machine learning expertise you already have. The AI systems everyone is…
Senior Analyst - Data Science
Designation : Senior Analyst - Data Science Level : L2 Location : Bengaluru Experience : 3+ years Job Role : Data Scientist – Healthcare AI & Clinical Intelligence Responsibilities : Model Development & Prototyping:…
IN_Specialist 2_Python Developer_D&A_Advisory_PAN India
Job Description & Summary: PwC India is looking for a highly skilled Python Developer with hands-on experience in developing, deploying, and optimizing Python-based applications and data processing solutions. This is a…
Pharmacy Technician
Job Description: AI/ML Engineer (Artificial Intelligence / Machine Learning) Industry: IT / Software Development / Artificial Intelligence Job Description We are looking for a skilled and passionate AI/ML Engineer to…
Senior Data Engineer
Senior Data Engineer at Bybit (a major crypto exchange) in Abu Dhabi, building structured data delivery for Compliance and Trading teams, analytics dashboards, data governance, AI-powered data agents, and real-time data collection/scraping systems using Python, SQL, Spark/Hadoop, and OLAP engines.
Data Science Intern – Summer 2027
10-week paid summer 2027 internship with National Life Group's AI Center of Excellence in Addison, TX or Montpelier, VT. The intern builds and evaluates predictive ML models and generative-AI prototypes for life insurance and annuity use cases, working mainly in Databricks using Python and SQL.
AI/ML Intern
AI/ML internship in Surat for students or freshers: assist the dev team on real-world projects — data collection/preprocessing, training and evaluating Python ML models, exploring GenAI/LLMs, and integrating AI features into web applications. On-site, Mon–Fri, Gujarat candidates only.
Senior Strategic Solutions Consultant (AI)
Senior presales/value engineer at Celonis in Munich who architects and prototypes AI solutions (LLMs, agents, RAG) on the Celonis Process Intelligence platform for strategic enterprise customers, runs Proof-of-Value projects, and proves ROI to C-suite executives. Requires Python, SQL, ML/AI frameworks, and native-level German.
Senior Applied AI Solution Engineer
Senior presales/value engineering role in Munich: architect, prototype, and deliver LLM/agent-based AI solutions (RAG, tools, guardrails) on the Celonis Process Intelligence platform for strategic global accounts, running Proof-of-Value projects and proving ROI to C-suite executives. Requires native-level German plus strong Python and SQL.
ML 엔지니어 (Catalog) (ML Engineer)
ML Engineer on Toss's Commerce AI Team designs models and data structures powering the Toss Shopping catalog — product classification, brand/attribute extraction, and matching of identical products — plus the large-scale training, batch, and online inference pipelines behind them, using PyTorch, SQL/Spark, and classic ML libraries.
ML 엔지니어 (커뮤니티 추천) (ML Engineer)
Build and improve a community-feed recommendation system for a stock-trading app used by 4 million monthly active users, using Python, PyTorch, and cloud-native serving stacks.
Robotics Software Engineer
Software engineer (1–2 years' experience) building machine learning and computer vision features for Dyson's intelligent products in Singapore. Day to day: developing and deploying ML/CV models across embedded, edge, cloud, and app platforms, maintaining data pipelines and CI/CD using C++, Python, OpenCV, and PyTorch.
Analista de Dados Sênior
Senior Data Analyst at Grupo Suno (an investment research/solutions ecosystem) in São Paulo, onsite. Leads the AI/predictive modeling agenda: builds and deploys ML models (classification, regression, time series, churn, LTV), runs rigorous A/B tests, integrates models via APIs, builds quick dashboards, and evaluates LLM/RAG tech. Core stack: advanced Python, SQL, ML libraries, FastAPI/Flask, Strea
Staff Software Engineer - Machine Learning
Staff-level ML engineer at Capital One UK (London, hybrid — three days onsite) who owns ML/AI technical strategy across teams, drives MLOps standards, and consults on AI use cases. Core tech: Python, PyTorch/TensorFlow, AWS/Azure/GCP, and Gen AI tooling such as LangChain, LangGraph, and RAG.
Data Engineer
Data Engineer at Zurich Insurance building scalable ingestion/storage pipelines and reusable data assets into a cloud-based Lakehouse, while operationalizing agentic AI/ML models. Core stack is Azure (Databricks, Fabric, Data Factory, Cosmos DB, Azure ML) plus AWS, vector stores, Snowflake/Redshift, and ML/LLM tooling.
Applied ML Engineer/Data Scientist
Build predictive ML models end to end on regulated Swiss employee-insurance data: pricing/risk, portfolio monitoring, claims triage, return-to-work, absence and fraud — owning feature engineering, backtesting, explainability and production MLOps. Stack: Python (pandas, scikit-learn), SQL, SHAP, cloud MLOps; explicitly not an LLM role.