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Build and deploy AI/ML models and RAG pipelines to turn Navy maintenance and logistics data into predictive tools that improve fleet readiness in a DoD GovCloud environment.
Remote Data Engineer building data pipelines, transformations, and data applications using Python, Numpy, Pandas, and SQL as an individual contributor on a decision intelligence platform.
A fresher Computer Vision Engineer role at Busigence, where the day-to-day involves working with Python, OpenCV, TensorFlow/PyTorch to develop AI models for processing images and videos, preparing data, and building deep learning pipelines.
Builds and optimizes data pipelines for ingestion, transformation, and management at scale, using Python, SQL, and distributed systems like PySpark/Kafka. Focuses on real-world data problems, parallel processing, and performance tuning for a startup’s AI-driven decision intelligence products.
A Data Science Engineer role for a fresher, working remotely on data preparation, exploration, feature engineering, machine learning modeling, and automation using Python3, Numpy, Pandas, Scikit-learn, SQL, and PySpark.
Develop AI applications using natural language processing (NLP), working with data science teams to build models and processing pipelines with Python, TensorFlow/PyTorch, and other ML frameworks.
Applies machine learning and advanced analytics to solve supply chain problems including demand forecasting, route optimization, and inventory management, using Python, SQL, and big data tools.
The Data Scientist collects, analyzes, and interprets data to solve business problems and improve product performance using machine learning, statistical analysis, and data-driven product development. Core technologies include Python/R, Pandas, NumPy, Scikit-learn, SQL, Power BI/Tableau, and Git.
A Data Analyst who solves complex business problems by analyzing raw datasets, identifying data quality issues, and delivering statistical insights to inform compliance decisions. Core tools: SQL, Python/R, and relational databases.
Senior Fullstack AI Engineer builds and deploys scalable AI solutions, trains ML models, and integrates them into full-stack applications using Python, Java/Scala, and cloud platforms.
Build and own core AI-powered fintech applications using Java/Spring Boot backend and React frontend, shaping the product from the ground up.
Owns financial data migration for Oracle Fusion while building AI-powered agents and LLMs to automate data quality, anomaly detection, and predictive analytics in finance operations.
Fullstack Engineer working with Python and AWS to design, develop, and deploy cloud-based systems. Responsibilities include collaborating with teams to evaluate cloud solutions, modifying/improving existing systems, and maintaining cloud solutions according to best practices.
Leads advanced analytics and AI solutions for Campbell Soup, developing ML models (MLOps, TensorFlow, PyTorch) to optimize supply chain, marketing, and retail operations while mentoring teams and driving data-driven decision-making.
A mid-level Data Scientist who provides statistical and mathematical support to analyze data, design analysis projects, and generate insights for leadership to inform strategic decisions, using tools like SQL, Pandas, and Jupyter Notebook.
The Leidos Digital Modernization Group seeks a Data Analytics & Visualization Engineer for the Global Solution Management – Operations II (GSM-O II) contract, under the Global Automations & Intelligent Network…
The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure for Singapore government agencies. The role involves data extraction, transformation, and integration using cloud-based tools and big data frameworks.
The Data Scientist will develop AI and machine learning models, including Generative AI solutions, to support Singapore government agencies. The role involves full-stack development, data wrangling, and maintaining AI-powered applications using technologies like Python, AWS, and various LLM frameworks.
Analyze warehouse and logistics datasets to automate insights and build product features in FIQ’s Workbench platform, turning manual spreadsheet tasks into scalable data-driven solutions.
Junior Data Engineer helping build and maintain scalable ETL/ELT pipelines and database infrastructure to support AI and advanced analytics solutions, primarily using Python and SQL.
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