Tech jobs
Job listings
Data Engineer
Build and maintain scalable batch and streaming data pipelines in AWS + Databricks, using Python, SQL, and modern lakehouse architectures to power analytics and reporting for a fast-growing fintech lender.
Python Developer (Microsoft technologies)
Build Python-based cloud-native solutions on Microsoft Azure, integrating services like Azure ML, Functions, and Cognitive Services to create scalable AI/ML pipelines and automation scripts.
Python Developer (Hybrid | HMO with Free Dependent)
Build and maintain Python-based microservices for a multi-carrier shipping platform, using Flask, Kubernetes, and cloud services to power rate shopping, tracking, and delivery proof.
Senior Software Engineer, Data Science
Build and maintain AI evaluation infrastructure for LLM-driven features in Progress AI, focusing on prompt optimization, dataset quality, and model accuracy measurement.
Data Scientist / AI Engineer
Build and ship the core AI engine and agents that reason over complex business models, turning mathematical ideas into production code in Python and FastAPI.
OTA Solution Software Developer
Develops automation and GUI software for over-the-air (OTA) test solutions, integrating RF hardware and instruments to validate wireless systems in lab and chamber environments.
OTA Solution Software Developer
Develops automation and user software for over-the-air wireless test solutions, integrating Python/C#/C++ with RF instruments and chamber control systems.
Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines for machine learning systems, ensuring data quality and security while collaborating with cross-functional teams to deliver AI solutions for clients.
Cloud-Native Quant Developer & Data Engineer
Builds cloud-native Python apps for quant research and trading, including data pipelines and backtesting tools using NumPy, Pandas, and AWS in a production environment.
Specialist Data Intelligence (Data Scientist)
Build and deploy ML models, predictive analytics, and AI-powered apps to drive data-driven decisions across DKSH’s markets using Python, SQL, and frameworks like Scikit-learn and XGBoost.
Data Scientist (with Image processing exp)
Build and deploy computer-vision models and analytics pipelines in Python/SQL, using cloud/big-data tools to extract insights from image data for R&D projects.
Data Scientist – Enterprise AI Solutions
Design, build, and deploy AI/ML models and Generative AI solutions for clients in banking, healthcare, and other industries, covering the full lifecycle from data prep to MLOps.
Data Scientist
Build and deploy AI/ML models and generative AI use-cases, clean and prepare data, and translate insights into business actions for clients in industries like finance and retail.
Python Developer: Finance Risk & Data Pipelines
Builds Python tools for market risk analysis, including ETL pipelines and data visualizations with Pandas, NumPy, Matplotlib, and Plotly.
Data Scientist
Build and deploy ML models (regression, classification, time series) in Python/SQL, engineer features, and monitor performance for business insights.
Lead Data Scientist
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Intermediate Data Scientist
Build and own ML models in Python to solve business problems, using Pandas, NumPy, and Scikit-learn; collaborate with engineers and stakeholders.
Senior data scientist
Build and deploy ML models to extract insights from healthcare data, automate predictions, and support clinical decision-making using Python, SQL, and cloud tools.
AI Engineer – Agentic AI Applications (CIB)
Build and deploy agentic AI applications (LLM agents, RAG assistants) in Python on Azure to automate workflows and improve decision-making for a fintech firm.
Full-Stack Developer
Build and maintain full-stack web apps using Python (Django/Flask), REST APIs, and responsive front-end stacks, collaborating with designers and product managers.