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The role involves developing and deploying AI/ML models (MLOps Engineer) and extracting insights from data (Data Scientist) for Akkodis’ global tech/engineering projects, focusing on Python, Kubernetes, and data pipelines.
Build and maintain analytical applications, data pipelines, and AI-powered features using Python (Streamlit, Django, Plotly) and LLM techniques to support clinical research and transplant patient care at a precision medicine company.
Middle AI Engineer at MTS Web Services (Finance Block) building and maintaining ML/DL/LLM infrastructure, fine-tuning models, developing RAG search and document recognition systems, and creating production data pipelines using Python, PySpark, Airflow, and vector databases.
Senior Data Scientist specializing in computational biology to analyze multimodal biological data (omics, imaging) for drug discovery, target identification, and biomarker development using ML and statistical rigor.
Onsite ML engineer in Springfield, VA designing, building, and maintaining ML systems (predictive models, recommendation engines, anomaly detection) using Python, Kubernetes, PyTorch/TensorFlow, and MLOps tooling for a national security contractor.
Builds and maintains scalable data pipelines, warehouses, and APIs to power analytics and applications using SQL, Python, and cloud platforms.
Data Engineer building ETL/ELT pipelines, data warehouses, data lakes, and backend APIs for a consulting firm serving banking and financial services clients.
Leads backend/data platform development using Python/Django, APIs, and data processing; collaborates with international teams on complex data systems.
Builds and maintains scalable data pipelines for EA’s Localization team, processing structured/unstructured data to support AI/ML and analytics. Focuses on ETL/ELT, cloud-based solutions, and ensuring data integrity for global game localization.
Builds scalable data pipelines and analytics solutions in Python/AWS to process large datasets for asset management, integrating AI/ML and LLMs to generate investment insights.
Principal Engineer owning backend platform strategy for Genesys's Agentic AI products—designing APIs, event-driven architectures, and data platforms on AWS at global scale while partnering with AI specialists.
Build production-grade ML systems for HVAC energy efficiency using sensor data, time-series modeling, and anomaly detection in a climate-tech startup.
Senior Data Scientist building an enterprise geospatial analytics framework for intelligence products, applying ML and statistical methods to large-scale geospatial and imagery datasets while collaborating with engineers and government stakeholders.
Mid-level Data Scientist designs automation and data integration solutions to streamline GEOINT workflows for NGA modernization, using Python, databases, and Esri tools.
Staff Data Scientist driving analytics, ROI analysis, and data modeling for an insurtech company, using Python, SQL, and BI dashboards to inform product and business decisions in workers' compensation insurance.
Data Engineer building scalable ETL/ELT pipelines, data warehouses, and data lakes using Python, SQL, Apache Spark, Airflow, and cloud platforms (AWS/Azure/GCP) to power analytics and AI/ML products.
Data Scientist at a national security contractor in Camp Lejeune, NC, analyzing complex datasets and building ML models to support Marine Corps Special Operations Command's data-driven decision-making.
Senior Software Engineer at GRVTY in Dayton, Ohio, building Python-based tools for optical signature modeling, spectral data analysis, and ML-enabled sensor workflows for national security missions.
Leads geospatial data systems, automating workflows and applying AI/ML to improve GEOINT data processing and dissemination for national security missions.
What Impact You'll Have The scope of work aligns to NGA efforts to effectively and efficiently disseminate Mapping, Charting and Geodesy content to NGA's forward architecture. The role shall support the office…
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