10 Mixtral Jobs

Role: Senior Machine Learning Location: Onsite - Bengaluru Experience: 5 - 8 Years Budget: ?35 LPA - ?50 LPA Onsite Opportunity (No Remote work available) About Company We backed Insurtech Startup , it is transforming the underwriting landscape with Generative AI. Our SaaS solutions help insurance companies in the US make smarter, faster decisions by optimizing underwriting processes, reducing risk, and improving premiums. As we expand, we're looking for a Machine Learning Engineer - 2 to build NLP, CV & LLM based solutions and generate value for our customers. Position Overview As a MLE-2, you will design, implement, and optimize AI solutions while ensuring model success. You will lead the ...

Location: Onsite - Bengaluru Company: Pibit.ai : Y Combinator backed Insurtech Startup About Pibit.ai: Pibit.ai is transforming the underwriting landscape with Generative AI. Our SaaS solutions help insurance companies in the US make smarter, faster decisions by optimizing underwriting processes, reducing risk, and improving premiums. As we expand, we're looking for a Senior Machine Learning Engineer to build NLP, CV & LLM based solutions and generate value for our customers. Position Overview: As a Senior Machine Learning Engineer, you will design, implement, and optimize AI solutions while ensuring model success. You will lead the ML lifecycle from development to deployment, collaborate wi...

As a Lead/Architect in the AI/ML field, your role will involve: - Solutioning Enterprise level AIML/GenAI/Cloud stack/Dev/ML Ops. - Platform Development and Evangelism: - Building scalable AI platforms that are customer-facing. - Evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Machine Learning Pipeline Design: - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models. - Designing APIs for model inferencing at scale. - Demonstrating expertise with MLflow, SageMaker, Vertex AI, and Azure AI. - LLM ...

As a Platform Development and Machine Learning expert at Adobe, you will play a crucial role in changing the world through digital experiences by building scalable AI platforms and designing ML pipelines. Your responsibilities will include: - Building scalable AI platforms that are customer-facing and evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models and designing APIs for model inferencing at scale. - Demonstrating proven expertise with MLflo...

Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 4+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on...

You will be working as an AI Platform Engineer in Bangalore as part of the GenAI COE Team. Your key responsibilities will involve developing and promoting scalable AI platforms for customer-facing applications. It will be essential to evangelize the platform with customers and internal stakeholders, ensuring scalability, reliability, and performance to meet business needs. Your role will also entail designing machine learning pipelines for experiment management, model management, feature management, and model retraining. Implementing A/B testing of models and designing APIs for model inferencing at scale will be crucial. You should have proven expertise with MLflow, SageMaker, Vertex AI, and...

Responsibilities: * Design, develop & implement AI solutions using ML algorithms & NLP techniques. * Optimize performance through continuous learning & improvement. Annual bonus

Key Responsibilities: Fine-tune and deploy LLMs (e.g., GPT, LLaMA, Mistral) using frameworks like Hugging Face Transformers and LangChain. Build and optimize RAG pipelines with vector databases (e.g., Pinecone, FAISS, Weaviate). Engineer prompts for structured and reliable outputs across diverse use cases such as chatbots, summarization tools, and coding assistants. Implement scalable inference pipelines; optimize for latency, throughput, and cost using quantization, distillation, and other model optimization techniques. Collaborate with product, design, and engineering teams to integrate generative AI capabilities into user-facing features. Monitor and improve model performance, accuracy, s...

Key Responsibilities: Fine-tune and deploy LLMs (e.g., GPT, LLaMA, Mistral) using frameworks like Hugging Face Transformers and LangChain. Build and optimize RAG pipelines with vector databases (e.g., Pinecone, FAISS, Weaviate). Engineer prompts for structured and reliable outputs across diverse use cases such as chatbots, summarization tools, and coding assistants. Implement scalable inference pipelines; optimize for latency, throughput, and cost using quantization, distillation, and other model optimization techniques. Collaborate with product, design, and engineering teams to integrate generative AI capabilities into user-facing features. Monitor and improve model performance, accuracy, s...

Location: Hyderabad, India | Employment Type: Full-Time Experience Level: 2+Years Company: Covasant Contact Person: Ranjith Reddy 9703455109 | ranjith.palle@covasant.cm | linkedin.com/in/ranjith-r-75a766227 Build the Future of AI with Covasant At Covasant , we don't just work with AI we engineer the next era of it. We're hiring mid-level to senior developers and AI leads to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable. This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI , and more. If youve got the skills and curiosity to work on...