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Build and maintain scalable data pipelines to process complex biological datasets for training AI foundation models in drug discovery and healthcare.
Builds and deploys production AI systems like voice hardware, conversational agents, and RAG pipelines using Python, FastAPI, and ML frameworks.
Build ML/AI models to optimize asset-management strategies and fintech products using blockchain, tokenization, and NFT data.
Build, deploy, and monitor ML/AI models and GenAI systems using Python, TensorFlow, PyTorch, and MLOps tooling like MLflow and Kubernetes.
Lead the design and deployment of advanced AI models, including LLMs and multimodal systems, using deep learning and statistical methods to solve complex business and research challenges.
Build and maintain data pipelines and ETL processes using Python, Flask, and ORMs like SQLAlchemy to support analytics and ML workflows.
Builds LLM-powered agents that turn natural language into data analysis, using Python, pandas, LangChain, and text-to-SQL toolkits to process CSV and database queries.
Builds and maintains data pipelines, ETL processes, and real-time data systems using Python, SQL, and cloud tools like GCP and Cloudera Hadoop.
Builds and maintains Python-based data pipelines and time-series databases to process automotive manufacturing data and support MLOps workflows for Bosch’s mobility products.
Build and maintain a global data lake and pipelines using Python, Spark, Databricks, and Azure services to ensure reliable, high-quality data processing and analytics.
Builds and maintains global data pipelines and lakes using Python, Spark, and Azure tools to ensure reliable, high-quality data for analytics and operations.
Internship in AI/ML and quantum computing with a path to full-time work; build models in Python and libraries like TensorFlow/PyTorch.
Build, test, and deploy AI/ML models; preprocess data and help fine-tune models for Translation Empire’s AI-driven applications.
Build and deploy ML models for financial forecasting, risk analysis, and strategic decision-making using Python, time-series techniques, and cloud platforms.
Builds and tests AI/ML models, preprocesses data, and helps deploy AI-driven features using Python and libraries like scikit-learn.
Build, optimize, and deploy AI/ML models (including LLMs) using Python, TensorFlow/PyTorch, and cloud platforms in a product-focused team.
Build and deploy ML pipelines and LLM services for a healthcare AI platform that supports population health and clinical decision-making.
Build and optimize Python-based speech-to-text models using frameworks like Whisper or Wav2Vec2, deploy them via APIs/Docker, and integrate into real-time applications.
Build and maintain scalable web apps using Python (Flask/Django) and ReactJS, including REST APIs, SQL Server databases, and Azure deployments.
Build backend services integrating AI APIs and trading systems using Python, FastAPI, and SQL.
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