1,536 pharma api qa jobs in India.

POSITION SUMMARY Check figures, postings, and documents for accuracy. Organize, secure, and maintain all files, records, cash and cash equivalents in accordance with policies and procedures. Record, store, access, and/or analyze computerized financial information.

Key Responsibilities ~ Develop and optimize ETL processes to streamline data flow, Manage and enhance BI tools like Metabase for secure and effective reporting, Build and maintain dashboards and data models to provide business teams with real-time insights, Work with Mixpanel or similar tools to analyze user behavior

... databases such as Pinecone, pgvector, or OpenSearch.- Strong Python 3.10+ development skills, including async programming and type hints.- Experience with FastAPI, REST API development, JWT/OAuth2 and modern authentication flows.- Strong SQL knowledge and experience processing unstructured enterprise data from PDFs, Excel, ...

... of innovation and creativity. You will have the opportunity to work on groundbreaking projects that empower organizations with AI-driven insights. Join us in shaping the future of technology and making a difference in the https://jobeax.com/link/KHifeF1wLIUbUA0c : - 12 + YrsLocation : - Hybrid (Pune/Bangalore/Hyderabad) ...

... developing applications using microservice architecture. • Strong proficiency in Python and FastAPI. • Deep understanding of Pydantic for data validation in FastAPI. • Experience with containerization (Docker, Kubernetes). • Familiarity with CI/CD pipelines and automation tools. • Knowledge of API design and implementation ...

... models, innovation, and new technology evaluation. - - Collaborate with software developers to integrate AI capabilities into applications and workflows - - Develop APIs and microservices to serve AI models for real-time or batch inference. - - Foster a culture of innovation and collaboration within the COE, across teams and ...

Job Description :Key Responsibilities :- Design, develop, and deploy advanced Machine Learning and AI solutions. - Work with deep learning architectures including CNNs, RNNs, and Transformers. - Develop solutions using Reinforcement Learning, NLP, Computer Vision, or other domain-specific AI technologies.

... https://jobeax.com/link/H3NJYTgqyPOEJjjz will make a measurable impact. Why https://jobeax.com/link/H3NJYTgqyPOEJjjz Global Impact : Be part of a platform live in five countries and expanding rapidly. Fast-Growing SaaS Company : Work in an agile environment with enterprise backing. Cutting-Edge Tech : AI-powered customs clearance, freight visibility, document ...

... ML.- Experience designing real-time and batch AI pipelines.- Strong understanding of Feature Engineering and model lifecycle management.- Experience with REST APIs, microservices, and scalable system design.- Strong knowledge of cloud platforms such as AWS, Azure, or GCP.- Experience with Docker and Kubernetes is preferred. ...

... Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s ...

... as one of the top 5 in the Process and Technology Innovation category. You will bring your skills, experience, and innovation to play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco's Enterprise and Supply Chain ...

ai is an AI-driven industrial asset health and reliability platform that helps organizations transform how they manage and maintain critical equipment.

Job title: Associate Director - CIB Business Risk - AI Governance Lead - As Associate Director, CIB Business Risk, AI Governance, within the Risk Capability Office, you’ll lead and shape global AI governance and risk reviews for Corporate and Institutional Banking.

... Deep Learning : CNN, R-CNN, YOLOv8, SSD, ResNet, DeepSORT- Computer Vision : Object Detection, Tracking, Event Detection- Real-Time Video : RTSP, RTMP, ONVIF- APIs & Microservices : REST API, GraphQL, gRPC- Databases : MySQL, Pinecone DB, Vector DB- Edge AI : TensorRT, ONNX, OpenVINO- Infrastructure : Linux, Docker, Git, ...

... enterprise data - Build AI agents with planning and tool use - Monitor performance and ensure responsible AI - Knowledge on Python / C# / JavaScript,Vector databases, API and microservices - Knowledge on Azure AI Foundry / Azure OpenAI andPrompt engineering and RAG We recognize the significance of flexible work arrangements to ...

... MID Servers, logs, monitoring platforms, and other relevant data sources. MUST HAVES - Advanced Python development experience of at least 4+ years , and REST API design capabilities with experience building APIs, data-processing pipelines, integrations, automation, and production-grade engineering solutions. - Strong experience ...

... workflows, or similar systems Comfort working with APIs, data pipelines, and technical integrations Ability to communicate technical concepts to non-technical stakeholders Skills: product management,cross functional collaboration,api integration,automation,customer centric solutions,metrics,machine learning workflows,agents

Fulfillment by Amazon (FBA) enables sellers to scale their businesses globally by leveraging Amazon's world-class fulfillment network. The WW FBA Central Analytics team builds and operates scalable, enterprise-grade data infrastructure, tools, and analytics solutions that power the WW FBA business.

Role Purpose This incumbent should be a highly motivated Project Manager – DCBU to lead end-to-end execution of fiber-centric data center network infrastructure projects, including AI Datacenters Key Responsibilities - Manage structured cabling projects across all lifecycle phases: initiation, planning, execution,

Supports, develops and maintains a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with the Business and IT teams to understand the requirements to best leverage the technologies to enable agile data delivery at scale.