1,536 pharma api qa jobs in India.

... ChatGPT or similar generative AI tools. Experience in designing instructional content, technical writing, or conducting workshops. Experience working with LLM APIs and prompt engineering in Python environments. Familiarity with prompt engineering concepts and applications. Nice to Have: Experience in the AI domain, particularly ...

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible.

Responsibilities : Content Strategist defines how AI powered products speak, guide, and support people across digital moments. You will create content systems, conversation models, and prompt patterns that help our experiences feel clear, caring, and consistent with the client brand.

com/link/hZA6gzkYF9VDNasQ to haves :1. 2. 3. 4. Ethical AI: Deep understanding of model interpretability, bias mitigation, and responsible AI governance. tech)

... MoEngage to power digitalexperiences for over a billion monthly customers. With offices in 15 countries, MoEngage is backedby Goldman Sachs Asset Management, B Capital, Steadview Capital, Multiples Private Equity, EightRoads, F-Prime Capital, Matrix Partners, Ventureast, and Helion https://jobeax.com/link/Vhs7iwuAKFHksFcv ...

... knowledge repositories.- Implement prompt engineering, fine-tuning, and optimization techniques to improve model performance.- Integrate AI applications with APIs, databases, enterprise systems, and cloud services.- Build multi-agent workflows using frameworks such as CrewAI, LangGraph, AutoGen, Semantic Kernel, and LangChain.- ...

... deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical ...

Essentials for Being Successful in This Role Minimum 5 years of experience in software development and system design Minimum 2 years of experience as a Data Engineer focused on data modelling, governance, and platform administration. Expertise in Snowflake or similar MPP databases. Strong SQL skills.

... JavaScript frameworksBackend :- Python / https://jobeax.com/link/sxRbGJaRIwVjhB6P :- AWS- Docker- Kubernetes / EKS- CI/CD systemsAI & Platform :- LLMs and AI APIs- Vector databases- Retrieval systems- Agent orchestration frameworksWhat We're Looking For :- AI/ML or GenAI projects- Hackathon participation- Open source contributions- ...

... and convert successful analytical solutions into production-ready solutions.- Apply LLM/Generative AI techniques to selected business use cases.- Work with LLM APIs, prompt engineering and basic RAG/GenAI architectures where required.- Collaborate with Data Engineers, Backend Engineers and Frontend Engineers to build end-to-end ...

... building, and optimizing scalable data pipelines, transforming data for analytics and AI use cases, and supporting modern cloud-based data https://jobeax.com/link/tlplQAnK5B36KMXq Responsibilities :Data Engineering & Development : - Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake, Python, PySpark, and DBT.- ...

... Professional; CKA or a cloud AI/ML https://jobeax.com/link/knVUJwk3aWFadk42 Skills & Tools:- Cloud (AWS): Bedrock, SageMaker, Lambda, ECS, EKS, Step Functions, S3, API Gateway, IAM, CloudWatch- Containers & IaC: Docker, Kubernetes, Helm, Terraform (modules), Ansible- CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD (GitOps)- ...

... Operationalizing GenAI applications Technical and Professional Requirements: Strong Python programming Hands-on experience with LLMs / Generative AI Experience with: LangChain / LangGraph / LlamaIndex Solid understanding of: RAG architecture Prompt engineering Embeddings & vector search Experience building APIs using: FastAPI / Flask

... Models (SLMs) to power AI Agents across the entire CX journeycustomer-facing agents, agent-assist, and backend automationalong with deep conversation analytics for QA, coaching, and https://jobeax.com/link/HbXS8alohdIZwtWG a fast-growing team in India, we are building a strong engineering presence to drive innovation across ...

... LlamaIndex, LangGraph, CrewAI, AutoGen, Semantic Kernel FAISS, Qdrant, Pinecone, Weaviate, Azure AI Search - or equivalents). - Strong proficiency in Python , including API development (FastAPI/Flask), async/concurrent programming, data wrangling, and rapid prototyping (Streamlit, Gradio, etc.). - Hands-on experience integrating ...

... infrastructure, and application-related issues. Manage application configurations across development, testing, and production environments. Collaborate with development and QA teams to ensure smooth and reliable releases. Must Have Skills – Kubernetes (Installation and configuration) Kustomize Argocd Troubleshooting in Kubernetes Understanding ...

Qualifications & Experience - 12-15 years of total experience, with 5+ years in Data Science or AI/ML Engineering roles. - Demonstrated experience leading end-to-end AI/ML solution design and production deployment. - Proven track record in Generative AI, LLMs, NLP, and AI agent development.

... embedding models. Cloud Proficiency - AWS for ML infrastructure: EC2 (incl. accelerated instance families), EKS, Lambda, S3, Bedrock, SageMaker, Step Functions, API Gateway, EventBridge, SQS/SNS fan-out. IaC with Terraform or CloudFormation. Async / Architecture - Queues (SQS, Kafka), micro-batching, and event-driven systems ...

Role Overview : We are looking for a highly experienced AI/ML Architect to design, scale, and govern enterprise-grade machine learning solutions. This role focuses on solution design, system architecture, and end-to-end ML lifecycle ownership, while mentoring senior data scientists and engineers. tech)