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Senior Data Scientist designing and implementing ML solutions for anomaly detection, root cause analysis, and predictive models on terabytes of streaming datacenter network data using Python, Golang, and big data tools like Spark and Flink.
The Data Scientist will build and implement predictive cohort models to support underwriting and marketing functions at Chubb. The role involves data extraction, statistical analysis, and cross-functional collaboration using tools like Python, R, and SQL.
This Senior ML Engineer role focuses on conducting fundamental research in agentic AI and intelligent systems to develop novel model architectures and learning algorithms. The position involves translating research into product features and requires deep expertise in areas like LLMs, generative models, and reinforcement learning.
The Senior Program Manager will lead a global team of QA specialists to transform quality assurance from manual sampling to an AI-driven intelligence model. This role focuses on analyzing operational data to improve agent performance and customer experience within a delivery marketplace.
The Senior Program Manager will lead a global team of QA specialists to transform delivery quality through AI-driven intelligence and automated evaluation models. This role bridges quality insights with agent enablement to optimize performance and customer experience across Uber's delivery operations.
Lead Business Analyst driving AI/GenAI and data initiatives—gathering requirements, identifying use cases, and translating business needs into solutions using Power BI, Tableau, SQL, Python, and cloud platforms like Azure/AWS within a 12-month contract.
The Senior Business Analyst, FinOps will define, document, and optimize end-to-end financial transaction workflows while bridging the gap between business operations and technology teams. The role requires extensive experience in financial processes, SQL, and process re-engineering to drive automation and operational efficiency.
Data Scientist designing and implementing data processing and machine learning frameworks, with hands-on work in LLMs, GenAI, and NLP using Python and SQL—fully onsite in Chennai.
The Big Data Engineer will design and maintain batch and real-time data warehouse solutions to support business decision-making. The role involves building ETL pipelines, developing data products, and applying data modeling and machine learning techniques to large datasets.
The Big Data Engineer will design and maintain batch and real-time data warehouse systems, build data products, and develop ETL pipelines to support business decision-making. The role involves collaborating with stakeholders to transform large datasets into actionable insights using distributed computing engines and data modeling techniques.
Build AI-powered features like search, recommendations, and generative AI tools for a healthcare marketplace, spanning models, APIs, and user interfaces.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Senior ML Engineer at Kensho (S&P Global) building GenAI platforms, LLM-powered agents, and AI toolkits end to end, from modeling through production deployment using Python, LLM orchestration, and cloud infrastructure.
Build and deploy production-grade ML systems, including retrieval-driven AI agents and LLM-powered applications, using Python, PyTorch, and LangChain to power Kensho’s AI toolkits and generative AI products.
Big Data Engineer building batch and real-time data warehouses, designing and optimizing ETL pipelines, and creating data products and metrics dashboards using distributed computing engines like Spark, Hive, and Flink at TikTok.
Build and deploy ML models from scratch (e.g., Random Forests, Neural Networks) to detect spam and threats, using Python and cloud infrastructure without managed services.
Lead the engineering efforts of an 'Agentic Factory' team, designing and deploying production-grade GenAI/ML solutions, multi-agent workflows, and MLOps pipelines on GCP/Vertex AI with hands-on Python development and team mentorship.
Analyze federal eVetting investigation data and optimize business rules to increase automated pass rates, using NLP, predictive risk modeling, and network analysis on-site for a government consulting client.
We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our…
Design and develop GenAI and conversational AI software solutions at Barclays, leveraging AWS ML services (Lex, Comprehend) and custom NLP models, while collaborating cross-functionally to integrate AI into the bank's digital products.
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