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Build and deploy production-grade generative AI systems using Python, LLMs, RAG pipelines, and AWS services like SageMaker and Bedrock.
Build and own data pipelines, warehousing, and ML infrastructure for an AI-powered workforce development platform, transforming labor market and skills data into job-matching systems using Python, SQL, Airflow, dbt, and AWS.
Designs and governs enterprise AI systems, including LLMs and MLOps, ensuring scalable, secure, and compliant solutions aligned with business goals.
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.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver predictive insights.
Design and build scalable data pipelines and warehouses for clients, enabling AI/ML and BI insights using tools like Spark, Kafka, and SQL.
Build and maintain scalable data pipelines and cloud-based architectures to support AI/ML and business intelligence for clients, using tools like Spark, Kafka, and cloud platforms.
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.
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.
Build and deploy LLM-powered multi-agent systems using Google ADK or LangGraph, focusing on RAG, tool use, orchestration, and production-grade reliability.
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.
Builds scalable data pipelines and AI/ML models in Python/SQL, deploys them to cloud, and maintains MLOps workflows using Spark, TensorFlow, and Airflow.
Position Overview The AI/ML Engineer is a hands-on technical specialist responsible for designing, building, and operationalizing AI and machine learning capabilities within the MDM platform and its surrounding…
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Build and deploy AI/ML perception systems for autonomous robots and drones, integrating camera/radar sensors and fusion algorithms to enable safe navigation in industrial environments.
Lead a team of Data Scientists and ML Engineers building AI-powered financial-market solutions using LLMs, Generative AI, and advanced ML, from concept to production.
Build AI-powered digital avatars that sync lip movements, micro-expressions, and head poses with audio using multimodal models (ViT/VLM) and RAG agents.
Builds quantitative models and dashboards in Python to analyze asset allocation, manager performance, and client portfolios for a global investment firm.
Lead a team to design and deliver production-grade AI solutions using machine learning, generative AI, and agentic AI for clients in government, healthcare, and defense.
Build and validate AI/ML models for credit risk, fraud, and marketing using Python, SQL, and GCP to ensure accuracy and regulatory compliance.
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