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Turn complex data into decisions that matter. Agile Bridge is looking for a Data Scientist who can move confidently from messy data and ambiguous business questions to reliable models, clear insight and measurable…
Build and deploy PyTorch-based ML models to predict marketing effectiveness for large advertisers, working with text, image, and video data in a product-focused team.
Role \: AIML Data Science Location\: Pan India Experience\: 6 to 15 Years Notice Period\: Immediate to 90 days Mode of Interview\: In Person Job Description\: 1. Be a hands on problem solver with consultative approach,…
The AI/ML Engineer will design, develop, and deploy AI solutions, focusing on large language models (LLMs) and Retrieval-Augmented Generation (RAG) systems to support healthcare pharmacy and benefit services. The role involves collaborating with cross-functional teams to integrate AI capabilities and optimize model performance using Python and cloud-based ML platforms.
WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From…
This role involves designing and developing network performance monitoring and automation software using Go and Python. The engineer will implement AI/ML-driven analytics to enhance network operations and reliability within a distributed systems environment.
The Senior Software Development Engineer ensures production stability and system reliability for UPS by managing runtime health, troubleshooting incidents, and developing automation. The role requires strong Java expertise and experience with cloud platforms, messaging systems, and databases like Couchbase and PostgreSQL.
The Advisor AI/ML Engineer will design enterprise AI blueprints, lead applied research in LLMs and agentic systems, and manage MLOps pipelines for Lilly's commercial technology team. The role involves mentoring engineers and bridging cutting-edge AI research with scalable business outcomes using AWS, Azure, and Databricks.
The Advisor AI/ML Engineer will define enterprise AI blueprints and lead the development of LLM-based solutions and MLOps pipelines for commercial applications. This hands-on role involves mentoring engineers and bridging cutting-edge AI research with business outcomes using technologies like Python, PySpark, AWS, Azure, and Databricks.
This Senior Associate role at PwC involves developing and deploying AI and machine learning solutions, including GenAI and statistical models, within the Palantir Foundry platform to support risk management and regulatory compliance for clients. The position requires expertise in data engineering, model development, and cross-functional collaboration to deliver scalable analytical workflows.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable GenAI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating AI into enterprise systems, and collaborating with MLOps teams on cloud platforms.
The Senior Associate Generative AI Engineer will design, develop, and deploy scalable AI solutions using LLMs and transformer architectures. The role involves orchestrating model workflows, integrating GenAI into enterprise systems, and collaborating with MLOps teams using Python, PyTorch, and cloud-based AI platforms.
Build and ship AI agents and LLM-powered services on Databricks and Azure, automating workflows in contracting, commissions, and distribution operations for an insurance company.
Builds AI-driven systems, agents, and pipelines for Blackstone portfolio companies, focusing on LLM-based workflows and backend services with Python and ML concepts.
Develops and tests advanced driver-assistance systems (ADAS) features for Ford vehicles, collaborating with hardware/software teams to define requirements, debug issues, and ensure compliance with safety standards (ISO-26262). Uses automotive diagnostics tools, CAN networks, and scripting (Python/C/C++) for feature development and data-driven validation.
The AI Engineer will design, develop, and deploy AI-powered solutions, including machine learning models, intelligent agents, and copilots, using Python and Azure cloud platforms. This role involves collaborating with cross-functional teams to integrate AI into enterprise applications while adhering to responsible AI and security standards.
The Senior Lead Data Scientist will architect graph-based data models and develop predictive forecasting models to support identity resolution and operational decision-making. The role requires deep expertise in graph technologies, Python, and production-grade machine learning to build scalable analytical solutions.
Build and operate production ML models and AI-driven systems for anomaly detection across Disney's streaming platforms (Disney+, Hulu, ESPN). Core tech: Python, PyTorch, FastAPI, MLflow, AWS/EKS, Docker, and time-series data processing.
Data Engineer at Bank of America's Global Commercial Lending division, building and productionizing AI/ML and GenAI solutions end-to-end using Python, MLflow, and MLOps frameworks in an in-office, enterprise environment.
Builds and deploys AI/ML solutions, including LLMs and agentic systems, managing pipelines from data to production while ensuring scalability and reliability.
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