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ML Engineer
ML Engineer builds, trains, and optimizes predictive models for freight and passenger aviation operations using ML pipelines and feature engineering.
Generative AI / AI-ML Engineer
Build and deploy production-grade generative AI systems using Python, LLMs, RAG pipelines, and AWS services like SageMaker and Bedrock.
Vice President, Data Science
Lead the design and deployment of rigorous AI/ML models for anomaly detection, forecasting, and risk analysis in a regulated financial-data environment, ensuring production-grade reliability and explainability.
Senior Data Scientist
Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Data Scientist
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver predictive insights.
Operations Data Engineering Analyst
Maintains and expands industrial data-historian systems (AVEVA PI/IP.21), curates clean datasets, and prepares AI-ready data pipelines for renewable-energy monitoring and predictive analytics.
Machine Learning Engineer
Build and run ML pipelines that detect unusual patterns in healthcare claims and pharmacies using Python, FastAPI, and unsupervised models, with Oracle-backed ETL and on-prem deployment.
Senior Associate, AI Data Scientist
Build predictive models and ML solutions for finance, insurance, and operations using Python, SQL, and cloud-native tools to drive data-driven decisions and business growth.
Data Scientist
Build and deploy ML models to grow audiences and personalize content for a media company, from recommendation engines to NLP and RAG systems.
Senior Data Scientist
Lead end-to-end ML projects for a media company, building recommendation engines and personalisation models to grow audience engagement and inform content strategy.
Senior Machine Learning Engineer
Build and deploy ML models that power travel-management features, collaborating with data analysts and engineers to turn business KPIs into production-ready AI systems.
Data Scientist - Applied AI/ML
Build and deploy predictive ML and generative AI solutions—including agentic workflows and LLM pipelines—to automate risk, compliance, and governance tasks across JPMorgan Chase’s business processes.
Sr. Director Data & AI Platform Architect
Lead the architecture of Honeywell’s enterprise AI platform across cloud, edge, and hybrid environments, defining standards for lakehouse, streaming, vector databases, and MLOps to scale real-time inference and agentic systems.
Data Analyst - Power BI Specialist
Design and build Power BI reports and dashboards for e-Government projects, using DAX, Power Query, and SQL to transform data into actionable insights.
Senior AI/ML Lead
Lead the design and development of ML models for a new AI initiative, driving feature engineering, experimentation, and explainable outputs while collaborating with data engineers and domain experts.
Machine Learning Engineer
Build and deploy ML models for creative understanding across vision, video, and language, then ship them into Adobe’s products to power insights and recommendations for marketers and creators.
Senior Data Engineer
Builds scalable data pipelines and APIs for analytics products like Portfolio Optimizer and Ad Insights using Python, Spark, and React.
AI Engineer Intern
Build and maintain ML pipelines, engineer features, prototype models (classification, regression, time-series, anomaly detection), and develop AI agents using Python, PyTorch/TensorFlow, and frameworks like LangChain.
AI / ML Engineer
Build production-ready AI systems using cloud AI services, generative models, deep learning, and neural networks for enterprise applications.
AI / ML Engineer
Build and deploy AI/ML applications using cloud services like Amazon SageMaker, integrating generative models and deep learning into production pipelines.