360 Embeddings Jobs - Page 15

We are looking for exceptional individuals to join our team at ScalePad as Head of AI Engineering. ScalePad is a prominent software-as-a-service (SaaS) company operating globally to provide Managed Service Providers (MSPs) with the tools and support needed to enhance client value in the ever-evolving IT landscape. As a member of our tech-management team, you will lead AI development initiatives, shape our AI strategy, and guide teams in creating impactful AI applications. This hands-on leadership role involves mentoring teams, improving developer productivity, and ensuring best practices in AI development, software engineering, and system design. Your responsibilities will include designing ...

We're hiring a passionate Data Scientist / GenAI Engineer to join our AI-first team working on LLMs, RAG pipelines, NLP features, and GenAI use cases like chatbots, recommendation engines, and smart automation.

Hiring a Senior GenAI Engineer with 712 years of experience in Python, Machine Learning, and Large Language Models (LLMs) for a 6-month engagement based in Gurugram. This hands-on role involves building intelligent systems using Langchain and RAG, developing agent workflows, and defining technical roadmaps. The ideal candidate will be proficient in LLM architecture, prompt engineering, vector databases, and cloud platforms (AWS, Azure, GCP). The position demands strong collaboration skills, a system design mindset, and a focus on production-grade AI/ML solutions.

Role: ML Engineer. Exp : 5 Years to 10 Years Location : Hyderabad. Job Overview: Were seeking a ML Engineer / Data Scientist to architect agentic AI solutions and own the full ML lifecycle—from proof-of-concept to production. You’ll operationalize LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: Operationalize large language models and agentic workflows (LangChain, LangGraph, LlamaIndex) to automate security decision-making and threat response. Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response. Build proof-of-concept GenAI solutions and evol...

Proven experience in developing and implementing Generative AI models and algorithms, with a strong understanding of deep learning fundamentals. Experience with training and fine-tuning Generative models on high-performance computing infrastructure. Experience in working with Vector DB and Embedding Proficiency in programming languages such as Python, NLP, TensorFlow, PyTorch, or similar frameworks for building and deploying AI models. Strong analytical and problem-solving and collaboration skills A passion for exploring new ideas, pushing the boundaries of AI technology, and making a meaningful impact through your work.

Essential Skills: Machine Learning & Deep Learning: Solid understanding of ML concepts and hands-on experience with deep learning (especially neural networks and Transformers). Python Programming: Strong Python coding skills with familiarity in frameworks like TensorFlow, PyTorch, or Keras. Natural Language Processing (NLP): Experience with tokenization, embeddings, and language model fine-tuning. Data Engineering: Ability to clean, process, and manage large datasets with a focus on data quality. Math & Statistics: Good knowledge of linear algebra, calculus, probability, and statistics. Preferred Additional Skills: Model Deployment (MLOps): Exposure to deploying models using Docker, APIs, CI...

Name of requirement - Generative AI Engineer Skill Category - Strong hands-on experience with LLMs and SLMs, including integration of open-source models, prompt engineering, evaluation, and fine-tuning techniques. Good Hands-on experience with vector databases, embeddings, and Azure AI Search integration for semantic retrieval. Skillset Keywords - Generative AI Engineer Exp. - Overall, 8-10 years combined experience in IT Work Type Location - Bangalore

Role & responsibilities Lead the full lifecycle design, development, and delivery of enterprisegrade Generative AI solutions across Azure and Google Cloud environments. Provide fullstack architectural leadership (React, Node.js, .NET) while ensuring scalable data platforms, robust DevSecOps, and exceptional client outcomes. Key responsibilities: Own solution architecture for Generative AI engagements from discovery through production, covering prompt engineering, embeddings, RAG, agent/multiagent frameworks, and model finetuning Define and govern technical designs spanning frontend (React), midtier (Node.js, .NET 7+/Core, C#), and data layers (Cosmos DB, SQL/NoSQL, Blob/BigQuery, vector stor...

Role & responsibilities Lead the full lifecycle design, development, and delivery of enterprisegrade Generative AI solutions across Azure and Google Cloud environments. Provide fullstack architectural leadership (React, Node.js, .NET) while ensuring scalable data platforms, robust DevSecOps, and exceptional client outcomes. Key responsibilities: Own solution architecture for Generative AI engagements from discovery through production, covering prompt engineering, embeddings, RAG, agent/multiagent frameworks, and model finetuning Define and govern technical designs spanning frontend (React), midtier (Node.js, .NET 7+/Core, C#), and data layers (Cosmos DB, SQL/NoSQL, Blob/BigQuery, vector stor...

As our AI Developer, you wont just write codeyoull partner with AI tools to conceptualize, prototype, and build full-stack features in record time. You'll convert user needs and contract workflows into functioning, AI-driven softwareend to end. This role bridges software engineering, product execution, and AI-engineeringthere is no separation between front-end, back-end, and model integration: you do it all. Key Responsibilities Use tools like Windsurf, Cursor, GitHub Copilot, etc., to accelerate development of full-stack features. Design, prototype, test, and deploy CLM modules: clause extraction, contract review UI, workflow automation. Integrate LLMs, vector embeddings, rule engines, and ...