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Builds and designs APIs, libraries, and UIs to make quantum computing tools accessible to domain experts, turning prototypes into production-ready applications.
Data scientist on AMD's AECG Pricing & Profitability team building AI/LLM pricing tools, machine-learning models for pricing and margin forecasting, and automated reporting pipelines on Snowflake. Hybrid role in San Jose, CA (3 days in office); not eligible for visa sponsorship.
Trainee machine learning engineer at QBrainX in Coimbatore, India, working with data scientists and senior ML engineers to build, train, and deploy models that solve real-world problems. Core stack: Python with scikit-learn, pandas, NumPy, TensorFlow or PyTorch, plus Git.
Business Intelligence Analyst at Korridor in Centurion, South Africa, leading the organisation's migration from Looker Studio to Microsoft Power BI. Day to day: building Power BI dashboards and data models, SQL-based exploratory analysis, ad-hoc financial and commercial analytics, and using AI tools (Claude AI, Copilot) to accelerate delivery.
AI/ML engineer at DataZymes in Bengaluru building and productionizing GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning) for healthcare/pharma analytics clients. Core stack: HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, and cloud ML platforms (AWS/Azure/GCP); Databricks/Spark is a plus.
Freelance data science trainer in Delhi who delivers in-depth training on statistics, machine learning, and predictive modeling. Runs hands-on Python sessions (Pandas, NumPy, Scikit-learn, TensorFlow), guides learners through end-to-end projects, and evaluates assignments while mentoring them for data science careers.
Senior Python engineer who builds automated lab test software and data pipelines at a networking-silicon startup: driving real lab equipment/DUTs (gRPC, serial), debugging test runs, and analyzing large test datasets with Elasticsearch, Kibana, and relational databases. Not a web-app role — a mix of test automation, hardware interfacing, and data analysis.
Mid-level Data Engineer (3+ years) at SteerBridge supporting a federal data modernization effort: designing and maintaining batch and real-time ETL/ELT pipelines, data lakes, and cloud workflows. Core stack includes Python, SQL, Pandas, PySpark, AWS Glue, and preferably dbt, Informatica, Azure Data Factory, and Databricks. On-site (3-5 days/week) in Vienna, VA; U.S. citizens with clearance eligibi
A mid-level data analyst on PrivatBank's internal audit team supports audits by extracting, cleaning and analyzing data from bank databases, writing and optimizing SQL, and building interactive BI dashboards. They also develop continuous-audit logic to detect risks, anomalies and fraud in real time; core stack is SQL, DWH/ETL and Power BI/Tableau, with Python/R as a plus.
Builds and benchmarks machine-learning models that predict and design antibody developability at Ginkgo Bioworks' Datapoints (Bio × AI) platform, working with biophysical assay data and public antibody datasets. Core stack: Python, PyTorch/TensorFlow, PLM embeddings (ESM, AbLang), and protein structure tools like AlphaFold.
Own ML end-to-end for a proprietary trading platform: turn loosely framed business problems into models in a high-load, low-latency environment — from feature engineering and hypothesis testing to evaluation and business-ready results. Core stack: Python (NumPy, SciPy, Pandas, Scikit-learn), PySpark/MLlib, XGBoost/GBM, survival analysis, and MLflow.
Python developer with strong data engineering experience at technology consultancy Solirius Reply, designing and maintaining scalable ETL/ELT pipelines and data-intensive services using Python, SQL and tools like PySpark/Spark/Pandas in secure, complex client environments; active UK security clearance is mandatory.
Onsite Senior Data Scientist in Barcelona at TyrAds, an adtech loyalty/rewards platform. The role is quantitative modelling of the reward economy: payout elasticity models, experiment design and causal inference, using advanced SQL and Python; production ML serving is handled by a separate ML engineering team.
Senior Data Analyst at inDrive (Almaty) who owns the Forecasting product: running and improving daily/monthly forecasts of supply, demand and financial metrics in Python and BigQuery, supporting planning cycles with scenario analysis, and explaining variances to business stakeholders in plain business terms.
Senior Machine Learning Scientist in drug discovery, building AI models to predict drug efficacy and toxicity using Python, PyTorch, and cheminformatics tools.
Senior ML scientist builds predictive models and analytics to accelerate drug discovery for RAS-addicted cancers, integrating biological, chemical, and structural datasets using deep learning and cheminformatics tools.
Senior Backend Engineer leads system design, mentors teams, and builds scalable real-estate tech solutions (e.g., agent tools, data pipelines) using Python, AWS, and AI tools to improve user experiences in buying/selling homes.
Build scalable real-estate platforms and tools that connect agents, buyers, and sellers, using Python, React, and AWS while integrating AI to accelerate development.
The Staff Backend Software Engineer will lead the design and architecture of scalable systems for Realtor.com, mentoring engineers and collaborating with cross-functional teams. The role requires proficiency in Python, Node.js, and cloud infrastructure, with a strong emphasis on integrating AI coding assistants into the daily development workflow.
Senior Data Scientist at Realtor.com builds AI-enabled analytics for RDC Next, a real-estate platform, running A/B tests and modeling consumer behavior to shape product strategy and agent workflows.
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