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Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Analyze legal content data to generate insights that guide product and content strategies, using SQL, Python, and BI tools.
Build and maintain AWS-based MLOps and DevOps infrastructure, including Kubernetes, CI/CD pipelines, and observability stacks, to support scalable ML model serving and 24/7 platform reliability.
Build and deploy production-grade AI/ML and Generative AI systems using Python, LLMs, RAG, and MLOps pipelines for real-world business use cases.
Design and build scalable data pipelines and platforms to power analytics and AI systems using cloud technologies like AWS, Databricks, and Snowflake.
Principal AI Engineer designs and builds a centralized AI platform and agentic frameworks for healthcare use cases, integrating clinical NLP, structured evidence graphs, and policy engines while ensuring regulatory compliance.
Build and maintain ML pipelines, deploy models via APIs/containers, and monitor performance for government AI projects using cloud-native tools.
Engineering Manager Location: Pune, Maharashtra, India Department: Weekday's Client via platform Workplace: on_site Employment Type: full Description 𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲…
Build and deploy AI/ML models using Python, FastAPI, and Generative AI tools like LangChain and vector databases to create scalable solutions for clients in media, e-commerce, and other tech sectors.
Senior Data Engineer builds and maintains AI-powered data pipelines and ML systems at a fast-growing hospitality workforce platform, ensuring reliable data flow from ingestion to real-time decisioning.
Build and deploy ML models for hospitality demand forecasting and labor optimization, integrating data into mobile apps and internal tools while scaling AI systems.
Design and lead enterprise-scale data platforms (Lakehouse, Data Mesh) and ML pipelines using cloud tools (AWS/GCP/Azure), then mentor teams to deliver analytics and data products for ad-tech clients.
Lead a team to deploy and monitor AI models at scale using AWS services, ensuring reliability and performance while mentoring engineers and collaborating with researchers.
Build and automate ML infrastructure for a fintech AI startup, deploying scalable pipelines with Kubernetes, Docker, and cloud services to deliver real-time financial insights.
Build full-stack internal apps and AI-powered tools on DDN’s data platform, using Python, React, and GCP to automate and surface data for business teams.
The Role We're hiring a Solutions Engineer to be the technical face of Trustible for our customers. You'll lead data migrations, configure the platform for each customer's environment, and build…
Build scalable data pipelines and cloud-native infrastructure for AWS’s deal-tooling analytics platform, integrating sources like Redshift and SageMaker to power AI-driven insights and machine learning.
Lead Amgen’s AI Studio team to design, build, and scale enterprise AI products (GenAI, RAG, agents) and automation platforms, ensuring scientific credibility, operational reliability, and responsible governance across departments.
Lead Chewy’s Ads Data Science team to build AI-powered ranking, bidding, and optimization systems for onsite and offsite ads, shaping the future of retail media with LLMs and generative AI.
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