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Build ML models to predict and reduce churn for streaming services, using Python, PySpark, and classical ML on large-scale user data.
Build ML models to predict and reduce churn for streaming services, analyzing subscription and engagement data to drive retention strategies.
Lead the design, development, and deployment of predictive and prescriptive AI/ML models to drive business outcomes like conversion and engagement for a hospitality partnership.
Build AI agents and multi-agent workflows to automate clinical data programming and regulatory submissions, using Python/R, LangGraph, and advanced RAG in a GxP-regulated healthcare environment.
The Senior Operations AI Engineer will design and deploy autonomous AI systems and agentic workflows to optimize supply chain and logistics operations. The role involves hands-on development using Python, ML frameworks, and GenAI tools while providing technical leadership to the team.
TIQ Solutions is seeking an AI Engineer to develop production-grade AI agents, RAG applications, and machine learning models for enterprise clients. The role involves building backends and integration services using Python, FastAPI, and various LLM frameworks.
Senior Data Scientist building ML models for Marketing, Commercial, and Digital use cases, managing the full model lifecycle from data preparation through deployment, with Python, R, SQL, and time series forecasting expertise.
The AI/ML Engineer will develop AI-powered security solutions and product features using LLMs, agentic frameworks, and machine learning techniques. The role involves designing intelligent components and staying current with state-of-the-art AI research to enhance cybersecurity products.
Cloud AI/ML Engineer at Evernorth (Cigna Group) in Hyderabad, operationalizing ML models into production-ready batch jobs using Python, PySpark, and AWS within an agile team.
Builds and deploys AI/GenAI solutions (LLMs, RAG, agentic systems) to improve insurance sales, fraud detection, and customer experience using Python, SQL, and cloud platforms like Azure and Databricks.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
The AI/ML Specialist will design and deploy scalable AI solutions, including Generative AI and NLP, within a banking environment. The role involves the full lifecycle of AI development, from data analysis and modeling to cloud deployment and CI/CD integration.
ML Engineer contract deploying production ML models and building scalable MLOps pipelines for a retail business, using Python, ML frameworks, cloud platforms, Docker, and Kubernetes.
Cloud AI/ML Engineer operationalizing machine learning models into production batch jobs using Python, PySpark, and AWS within an agile team at a large healthcare services organization.
Senior Data Scientist collaborating with R&D scientists at Qnity Electronics in Cleveland, applying statistical modeling, machine learning, deep learning, computer vision, and generative AI/LLMs to solve scientific and engineering problems in the semiconductor and advanced electronics space.
Builds and validates AI models for industrial manufacturers, transforming raw plant data (time-series, sensors, downtime) into actionable insights for clients and platform integration.
Build and deploy ML/AI models for logistics optimization, fleet analytics, and real-time decision systems using Python, Google Cloud, Kafka, and LLMs.
Oversees data product development for fintech applications, ensuring data quality, security, and usability for analytics/AI. Bridges business needs with technical teams to modernize data infrastructure, document requirements, and enable natural language querying and AI integration.
Lead end-to-end AI/ML development for payments, building generative and agentic systems on cloud infrastructure while ensuring scalable, secure, and compliant production deployment.
Builds and maintains data pipelines using SSIS/Fabric to extract, transform, and load data for business reporting; ensures data quality and collaborates with analysts to deliver dashboards and insights.
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