... discussions.- Comfortable using AI-assisted development tools to improve engineering https://jobeax.com/link/yx8kchu4LdXw5dYl Skills and Experience :- Understanding of AI agent patterns (tool use, function calling, memory, multi-turn conversations, guardrails).- Experience building multi-tenant SaaS platforms or developer platforms.- ...
... the role : We are looking for a AI offensive Security researcher / Senior AI Security Engineer/Architect with MLSecOps experience to lead the next generation of AI-native security at https://jobeax.com/link/55bAhFuItfSjCwyh will own two parallel missions : securing o9's GenAI platform and agentic AI ecosystem from emerging ...
... data platforms and ERP integrations (e.g. SAP)- Exposure to cloud environments and MLOps tooling- Experience with computer vision, time series, or optimization problems- Develop, train, and deploy ML/DL models where appropriate- Familiarity with responsible AI, explainability, and governance concepts (ref:hirist.tech)
... Lead the end-to-end migration of legacy solutions (SharePoint lists, InfoPath forms, SharePoint Designer workflows) to modern Microsoft Dataverse environments.- AI & Copilot Integration: Implement and configure Microsoft Copilot, Copilot Studio, and AI Builder to introduce conversational agents and predictive AI capabilities.- ...
... intelligence, and digital product development. This internship will allow freshers to work in a remote, pan-India environment while gaining practical exposure to how AI-enabled products are researched, planned, improved, and taken to users. Responsibilities - Support discovery and documentation of business requirements for AI ...
... outbound work that behaves like a cost workflow rather than a conversion one (lead qualification and verification, not lead conversion) — anywhere we can benchmark against a cost line the client already feels, guarantee savings, and hold the quality bar. We're deliberately building a technology company, not an AI BPO : models ...
... experimentation to prototype to implementation Very good English skills are required As a plus you have hands-on experience with DevOps and MS Azure, experience in Azure ML, Kedro or Airflow, experience in MLflow or similar. Linde is a leading global industrial gases and engineering company, operating in more than 100 countries worldwide. ...
... in creating scalable, efficient, and innovative AI solutions. You will work closely with cross-functional teams to design, develop, and deploy state-of-the-art AI https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities :- Develop and implement AI applications using large language models (LLMs) with Python and LangChain.- ...
... databricks About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. ...
... including MLOps/LLMOps practices Must-Have Skills - 16–18 years in Infrastructure/Cloud engineering or architecture, with the last 5–6 years focused on applied AI/ML/LLM work - Strong hands-on coding ability — Python (must), API integration, SDK usage (OpenAI/Anthropic/LangChain/LlamaIndex) - Solid understanding of LLM fundamentals: ...
... problems using ML and optimization techniques. - Build scalable ML pipelines and production-ready solutions. - Perform statistical analysis and generate actionable insights. - Collaborate with Data Engineering, Product, Engineering and Business teams. Candidates should be available for an in-person interview in Bangalore.
... applications that integrate LLM-driven features into seamless user experiences. Your contributions will directly influence how our clients get the maximum ROI from their AI https://jobeax.com/link/If2w5cHuMACnl81P Responsibilities :- Architect and maintain scalable full-stack applications by integrating complex AI workflows with robust ...
... lifecycle management, AI observability, and security. Working closely with Product, Data Science, Platform Engineering, and Executive Leadership, you will define AI strategy, establish architecture standards, and build enterprise-grade AI capabilities. The ideal candidate combines deep expertise in AI/ML systems, cloud-native ...
... performance optimization - Experience with relational databases such as PostgreSQL or MySQL; familiarity with search or vector databases is a plus - Exposure to AI/ML concepts such as LLMs, RAG, or prompt engineering is preferred - Experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure) - Familiarity ...
Description :AuxoAI is hiring a Senior Applied AI Engineer to design and deploy production-grade AI agents capable of structured reasoning, planning, and https://jobeax.com/link/zur1j9KkFSPiSZ7e role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, ...
... databricks About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. ...
Data Scientist Starts Immediately Competitive salary Competitive salary Experience Data Scientist RightProfile Mumbai (Hybrid) Full-time 23 yrs Syntellect is building the intelligence layer for lending in markets where bureau data stops. RightProfile our field AI platform is live across India and East Africa, and expanding ...
... about building AI-driven solutions, automating workflows, and improving business processes using modern AI tools and frameworks. Develop, implement, and optimize AI/ML models for business applications. Work on Generative AI, LLMs, NLP, and automation-based projects. Design and deploy scalable AI solutions and APIs. Train, ...
... systems, statistics, or - mathematics, with 1-3 years of experience in software development. - Collaborate with cross-functional teams, including data scientists, MLOps engineers, and product - managers, to integrate AI models into production systems. - Optimize model performance and reduce latency using quantization, distillation, ...
... with ML lifecycle management tools: MLflow, Weights & Biases, Vertex AI, or SageMaker. Knowledge of real-time data streaming (Kafka, Kinesis) for event-driven AI pipelines. Contributions to open-source AI tooling, published technical writing, or talks at AI/ML conferences. Prior startup or scale-up experience — comfortable ...