5.0 - 9.0 years

0 Lacs

hyderabad, telangana

On-site

As a Senior Data Scientist at AuxoAI, you will have the opportunity to lead the design, deployment, and scaling of production-grade ML systems, focusing on AI, machine learning engineering (MLE), and generative AI. Your role will involve a combination of cutting-edge research and production rigor, where you will be responsible for mentoring while building impactful AI applications. Key Responsibilities: - Own the full ML lifecycle, including model design, training, evaluation, and deployment - Design production-ready ML pipelines integrating CI/CD, testing, monitoring, and drift detection - Fine-tune Large Language Models (LLMs) and implement retrieval-augmented generation (RAG) pipelines - Build agentic workflows for reasoning, planning, and decision-making - Develop real-time and batch inference systems using Docker, Kubernetes, and Spark - Utilize state-of-the-art architectures such as transformers, diffusion models, RLHF, and multimodal pipelines - Collaborate with product and engineering teams to integrate AI models into business applications - Mentor junior team members and advocate for MLOps, scalable architecture, and responsible AI best workflows Qualifications Required: - 5+ years of experience in designing, deploying, and scaling ML/DL systems in production - Proficiency in Python and deep learning frameworks like PyTorch, TensorFlow, or JAX - Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines - Familiarity with agent-based development, including ReAct agents, function-calling, and orchestration - Strong understanding of MLOps tools such as Docker, Kubernetes, Spark, model registries, and deployment workflows - Solid software engineering background with expertise in testing, version control, and APIs - Demonstrated ability to balance innovation with scalable deployment - B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field Join AuxoAI and be part of a team that values innovation, scalability, and responsible AI practices to make a significant impact in the field of AI and machine learning.,

Posted 4 days ago

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AI Engineer Research Infinite Solutions LLP

2.0 - 6.0 years

0 Lacs

punjab

On-site

We are seeking a highly motivated GenAI Engineer with a strong background in working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and production-ready AI applications. As a GenAI Engineer, you will be involved in designing, building, and expanding digital products and creative applications that capitalize on the latest LLM technologies available. In this role, you will take on a lead position in product development, offering AI services to clients, facilitating client onboarding, and delivering cutting-edge AI solutions. You will collaborate with a variety of modern AI tools, cloud services, and frameworks to achieve these objectives. Your key responsibilities will include designing and implementing generative AI solutions using LLMs, NLP, and computer vision, developing and scaling digital products with LLMs at their core, leading product development and operations teams to implement GenAI-based solutions, managing client onboarding and adoption strategies, delivering enhancements based on client-specific requirements, building and maintaining RAG pipelines and LLM-based workflows for enterprise applications, overseeing LLMOps processes throughout the AI lifecycle, working with cloud-based GenAI platforms such as Azure OpenAI, Google, and AWS, implementing API integrations, orchestration, and workflow automation, as well as evaluating, fine-tuning, and monitoring the performance of LLM outputs using observability tools. The ideal candidate will possess a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent hands-on experience, along with a minimum of 2 years of practical experience in software development or applied machine learning. Proficiency in Azure AI services, including Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning, is required. Additionally, the candidate should have proven experience with LLM APIs, hands-on experience in building and deploying RAG pipelines, proficiency in Python and its ecosystems and libraries, familiarity with core GenAI frameworks, experience with vector databases, practical knowledge of embeddings, model registries, LLM APIs, prompt engineering, tool/function calling, structured outputs, LLM observability tools, as well as strong Git, API, and cloud platform experience. This is a full-time position based in Mohali, Punjab, with on-site work mode and day shift timings from 10:00 AM to 7:00 PM, Monday to Friday. The interview mode will be face-to-face on-site, and interested candidates can contact +91-9872993778 for further information.,

Posted 1 month ago

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