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Research and develop state-of-the-art AI models for embedded devices, focusing on computer vision and multimodal LLMs to enable features like people detection and video search.
Build and deploy ML models for a sales-enablement platform, collaborating with data science and product teams to improve model performance and scalability.
Build and ship ML systems that autonomously set ad bids and allocate budgets for retail-media advertisers in real time, using Python, GCP, and emerging LLM-based reasoning layers.
Build and deploy ML models for credit risk scoring and fraud detection using Python, SQL, and gradient boosting; work with large credit-history datasets in production.
Design and build enterprise-scale Generative AI systems using LLMs, RAG, and vector databases; lead cross-functional teams to deploy models like GPT-4 and Llama3 on AWS/Azure.
Senior Data Scientist at Oliver Wyman (Marsh LLC) builds and deploys advanced ML models to solve complex business challenges for global clients, collaborating with consulting teams to deliver scalable analytics solutions using Python, SQL, and cloud frameworks.
Lead an agile team building AI/ML and business intelligence solutions for a Federal Regulatory agency using Python, AWS SageMaker, and Power BI.
Lead the design and deployment of enterprise-scale AI/ML and LLM solutions, including generative AI, RAG, and knowledge graphs, while mentoring teams and ensuring Responsible AI compliance.
Build and deploy scalable, secure machine learning systems and recommender engines using Python, PyTorch, and AWS SageMaker to power Thomson Reuters’ AI-driven products.
Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: This engineering position provides an opportunity to work closely with leading wireless…
Build and deploy generative AI models using Python, TensorFlow, and cloud platforms; lead GenAI projects from ideation to production for enterprise clients.
Develops and implements data analysis and machine learning algorithms for environmental research, using Python/MATLAB and libraries like TensorFlow in a Linux environment.
Develop and implement data analysis and machine learning algorithms for environmental research, using Python, MATLAB, and ML libraries like TensorFlow in a Linux environment.
Builds and deploys advanced ML models (time-series forecasting, NLP) for insurance claims processing, translating business needs into scalable production systems using Python, PyTorch/Keras, and cloud tools like BigQuery/GCP.
Build and deploy AI/ML models (predictive, recommendation, deep learning) using Python, PySpark, and MLflow; optimize pipelines and collaborate with data engineers to drive business KPIs.
Build and optimize AI/ML models for retail demand forecasting and supply-chain planning using Python/R, time-series methods, and optimization algorithms.
Build and deploy NLP models for federal clients, focusing on text preprocessing, feature engineering, and transformer-based solutions to solve public-sector challenges.
Position Overview The AI Technical Architect is responsible for designing, developing, and implementing advanced artificial intelligence solutions that address critical business challenges. The role demands a deep…
Implements machine learning (ML) models for production. Ensures the readiness of machine learning models for deployment in production. Automates machine learning workflows. Creates infrastructure and frameworks to…
Designs and builds machine learning models to analyze data and improve product performance, working 2 days per week from an HPE office in Bengaluru using Python, TensorFlow, and related tools.
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