4 Groq Jobs

As a Generative AI Expert at Cogniter Technologies, you will be a valuable member of our advanced AI/ML team. Your role will involve designing and delivering scalable AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases. Key Responsibilities: - Develop intelligent applications using models such as GPT-4, LLaMA, Mistral, Falcon. - Architect and implement RAG pipelines for knowledge-driven AI systems. - Build AI agents with frameworks like LangChain. - Integrate vector databases (FAISS, Pinecone, Weaviate) for semantic search. - Deploy and manage real-time inference engines (e.g., Groq). - Optimize LLM performance, token usage, context handling, and prompts. - Collaborate with cross-functional teams to embed AI into production applications. - Stay updated on Generative AI and multimodal AI innovations. If you are passionate about building intelligent systems that solve real-world problems, Cogniter Technologies is looking forward to hearing from you.,

Senior Manager - Senior Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About the Role We are seeking a highly experienced Senior data scientist with 8+ years of expertise in machine learning, focusing on NLP, Generative AI, and advanced LLM ecosystems. This role demands leadership in designing and deploying scalable AI systems leveraging the latest advancements such as Google ADK, Agent Engine, and Gemini LLM. You will spearhead building real-time inference pipelines and agentic AI solutions that power complex, multi-user applications with cutting-edge technology. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models-training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields. 7+ years in ML engineering, applied AI, or senior data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Practical knowledge of LLM inference scaling with tools like vLLM, Groq, Triton Inference Server, and Google ADK. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization. Exposure to event-driven architectures or streaming pipelines (Kafka, Redis).

Welcome to Gyanindit, where we believe in the transformative power of knowledge and expertise. Our motto, "Encouraging Empowerment," drives our commitment to providing exceptional expert services that empower individuals to achieve their goals and aspirations. We envision a world where everyone has the tools, knowledge, and support to succeed. Our mission is to make a meaningful difference by providing guidance, resources, and solutions to help you excel in your career and harness the power of technology for innovation. We are seeking an experienced Sanity.io Developer / Headless CMS Engineer to lead the implementation, customization, and optimization of Sanity.io CMS solutions. This role is ideal for developers passionate about structured content, scalable headless CMS architectures, and delivering cutting-edge digital experiences in collaboration with product, design, and frontend teams. Key Responsibilities: - Architect, develop, and maintain headless CMS solutions using Sanity.io. - Design and implement custom schemas, content models, APIs, and plugins in Sanity Studio. - Collaborate cross-functionally with product, design, and development teams to deliver tailored CMS-driven solutions. - Integrate Sanity CMS with frontend frameworks such as Next.js, React, Vue.js, ensuring seamless and performant experiences. - Optimize content delivery workflows for scalability, performance, and editorial usability. - Configure role-based access controls and implement structured content workflows. - Write efficient GROQ queries and work with Portable Text for content retrieval and manipulation. - Ensure security, performance, and scalability across the content pipeline. - Mentor junior developers and contribute to best practices and coding standards. - Stay up to date with the evolving Sanity.io ecosystem, headless CMS trends, and Jamstack best practices. - Provide technical documentation and training for content editors and internal teams. Required Skills & Experience: - 6-10 years of overall software development experience. - Minimum 4 years hands-on experience with Sanity.io CMS. - Expertise in JavaScript / TypeScript, particularly in content-driven applications. - Strong experience with headless CMS architectures and integration with modern frontend frameworks like Next.js, React, Vue.js. - Proficient in writing GROQ queries, handling Portable Text, and building custom Sanity plugins. - Understanding of Jamstack architecture, static site generation, and content performance optimization. - Solid experience with RESTful APIs and GraphQL. - Familiarity with Git version control and CI/CD pipelines. - Excellent communication skills with the ability to work independently in remote, distributed teams. - Strong analytical, troubleshooting, and problem-solving abilities. Nice-to-Have Skills: - Exposure to cloud deployment platforms like Vercel, Netlify, AWS. - Experience with other CMS platforms such as Contentful, Strapi, Prismic. - Contributions to open-source projects or active participation in the Sanity community. - UI/UX sensibility or experience collaborating closely with design teams.,

Senior Manager - Senior Data Scientist (NLP & Generative AI) Location: PAN India / Remote Employment Type: Full-time About the Role We are seeking a highly experienced Senior data scientist with 8+ years of expertise in machine learning, focusing on NLP, Generative AI, and advanced LLM ecosystems. This role demands leadership in designing and deploying scalable AI systems leveraging the latest advancements such as Google ADK, Agent Engine, and Gemini LLM. You will spearhead building real-time inference pipelines and agentic AI solutions that power complex, multi-user applications with cutting-edge technology. Key Responsibilities Lead the architecture, development, and deployment of scalable machine learning and AI systems centered on real-time LLM inference for concurrent users. Design, implement, and manage agentic AI frameworks leveraging Google Adk, Langgraph or custom-built agents. Integrate foundation models (GPT, LLaMA, Claude, Gemini) and fine-tune them for domain-specific intelligent applications. Build robust MLOps pipelines for end-to-end lifecycle management of models-training, testing, deployment, and monitoring. Collaborate with DevOps teams to deploy scalable serving infrastructures using containerization (Docker), orchestration (Kubernetes), and cloud platforms. Drive innovation by adopting new AI capabilities and tools, such as Google Gemini, to enhance AI model performance and interaction quality. Partner cross-functionally to understand traffic patterns and design AI systems that handle real-world scale and complexity. Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields. 7+ years in ML engineering, applied AI, or senior data scientist roles. Strong programming expertise in Python and frameworks including PyTorch, TensorFlow, Hugging Face Transformers. Deep experience with NLP, Transformer models, and generative AI techniques. Practical knowledge of LLM inference scaling with tools like vLLM, Groq, Triton Inference Server, and Google ADK. Hands-on experience deploying AI models to concurrent users with high throughput and low latency. Skilled in cloud environments (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG). Experience with agentic AI using Adk, LangChain, Langgraph and Agent Engine Preferred Qualifications Experience with Google Gemini and other advanced LLM innovations. Contributions to open-source AI/ML projects or participation in applied AI research. Knowledge of hardware acceleration and GPU/TPU-based inference optimization. Exposure to event-driven architectures or streaming pipelines (Kafka, Redis).