93 Milvus Jobs - Page 2

Job Title: Generative AI Engineer Location: Remote Type: Full - Time Job Description: Key Responsibilities: Develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms. Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy , and scikit-learn . Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers . Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain , LlamaIndex , and vector databases like FAISS and Milvus ....

We are looking for an AI Lead to drive innovation, strategy, and delivery of cutting-edge AI solutions across multiple domains. The ideal candidate will combine hands-on expertise in AI/ML/GenAI with strong leadership skills to guide teams and deliver impactful business outcomes. Key Responsibilities Lead the design, development, and deployment of AI/ML/Generative AI solutions across diverse business domains. Provide technical leadership on LLMs, Generative AI, NLP, Deep Learning, and Machine Learning projects. Oversee end-to-end AI lifecycle from data collection, preprocessing, model design, fine-tuning, evaluation, to deployment and monitoring. Drive initiatives on LLM fine-tuning, prompt ...

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior GenAI Engineers to join our team in Delhi, Hary?na (IN-HR), India (IN). Location: | Experience: 8+ years Role Overview We're hiring a Senior AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers ( Azure, AWS, GCP ). You'll lead development across the full lifecycle-problem framing, data/feature/RAG pipeline design, model selection/finetuning, safety/guardr...

DevOps Engineer (Mid-Level) About the role You will take a hybrid role ensuring the quality assurance of AI-driven systems and managing DevOps pipelines for continuous integration, deployment, and monitoring of applications. Responsibilities Manage CI/CD pipelines (GitHub Actions, GitLab CI/CD, Jenkins) Monitor systems using Grafana and integrate alerting solutions Deploy and manage containerized applications (Docker, Kubernetes) Ensure data pipeline testing and reliability across PostgreSQL, MySQL, Milvus Work closely with backend & frontend teams to validate features end-to-end Requirements Familiar with cloud-native DevOps (Kubernetes, Docker, Azure, AWS, GCP, teraform) Knowledge of monit...

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) All you need is. Mandatory Skills: Hands-on Experience of handling GenAI Use cases Experience in Deep learning engineering (mostly on MLOps) Strong NLP/LLM experience and processing text using LLM Proficient in Pyspark/Databricks & Python programming. Building backend applications (data processing etc) u...

As a Deep Learning Engineer at Pivotchain Solutions, your role will involve developing, training, and deploying cutting-edge computer vision models to solve complex visual problems. You will work on image processing, object detection, and video analysis, collaborating with cross-functional teams to create impactful real-world applications. Key Responsibilities: - Develop and optimize computer vision models for object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs). - Utilize OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extraction from images. - Work with PyTorch, TensorFlow, and OpenCV for deep learning and image processing....

As a Deep Learning Engineer, you will be responsible for the following: - Experience in Deep learning engineering, primarily focusing on MLOps. - Strong NLP/LLM experience, with the ability to process text using LLM. It is mandatory to have at least 6 months of experience in NLP. - Proficiency in Pyspark/Databricks & Python programming. - Building backend applications, including data processing, using Python and Deep learning frameworks. - Deployment of models and creation of APIS using technologies such as FAST API and FLASK API. - Knowledge and experience of working with GPUS is required. - Working knowledge of Vector databases like Milvus, azure cognitive search, quadrant, etc. Experience...

We're hiring an Senior AI Engineer to build production-grade components for an AI-first, data-centric platform. You will implement agentic capabilities (intent, planner, router/composer), integrate knowledge-graph reasoning alongside a strong RAG baseline, and instrument robust evaluation and observability. The ideal candidate writes clean, reliable code, understands LLM systems and data retrieval trade-offs, and can optimize for latency, quality, and cost. Key Responsibilities Agent Implementation: Build and harden Intent , Planner , and Router/Composer agents with typed JSON I/O, retries/timeouts, and idempotency; emit call-graph traces and correlation IDs. Knowledge-Graph Reasoning: Gener...

Experience : 1.00 + years Salary : INR 1800000-2200000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Zero to 1) (*Note: This is a requirement for one of Uplers client - Zero to 1) What do you need for this opportunity Must have skills required: graph features (PPR, Graph/GraphRAG: Neo4j, Jaccard) for constrained recommendations, Re-rankers: cross-encoders, reranking with transformers, Languages: Python 3.10+, Classical ML: scikit-learn, cross-val, Data: pandas, Delta Lake (S3), Feature Engineering, LightGBM/XGBoost, model sele...

About this Opportunity Join our collaborative team to build and maintain scalable backend services that power GenAI applications. Youll be working closely with UI developers, ML engineers, and product teams to deliver seamless, end-to-end AI-driven solutions. What You Will Do - Design, develop, and maintain backend services for GenAI solutions. - Collaborate across disciplines to integrate AI capabilities into applications. - Write modular, testable, and efficient Python code following best practices. - Develop RESTful and GraphQL APIs to expose services to front-end and external systems. - Create ETL pipelines and data preprocessing workflows for structured and unstructured data. - Optimize...

Experience : 1.00 + years Salary : INR 1800000-2200000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Zero to 1) (*Note: This is a requirement for one of Uplers client - Zero to 1) What do you need for this opportunity Must have skills required: graph features (PPR, Graph/GraphRAG: Neo4j, Jaccard) for constrained recommendations, Re-rankers: cross-encoders, reranking with transformers, Languages: Python 3.10+, Classical ML: scikit-learn, cross-val, Data: pandas, Delta Lake (S3), Feature Engineering, LightGBM/XGBoost, model sele...

Experience : 1.00 + years Salary : INR 1800000-2200000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Zero to 1) (*Note: This is a requirement for one of Uplers client - Zero to 1) What do you need for this opportunity Must have skills required: graph features (PPR, Graph/GraphRAG: Neo4j, Jaccard) for constrained recommendations, Re-rankers: cross-encoders, reranking with transformers, Languages: Python 3.10+, Classical ML: scikit-learn, cross-val, Data: pandas, Delta Lake (S3), Feature Engineering, LightGBM/XGBoost, model sele...

Job Description Duration: 12 Months+ Shift: 2 Remaining Positions: 1 Details: Stefanini Group is a multinational company with a global presence in 41 countries and 44 languages, specializing in technological solutions. We believe in digital innovation and agility to transform businesses for a better future. Our diverse portfolio includes consulting, marketing, mobility, AI services, service desk, field service, and outsourcing solutions. Experience in Deep learning engineering (mostly on MLOps) Strong NLP/LLM experience and processing text using LLM Proficient in Pyspark/Databricks & Python programming. Building backend applications (data processing etc) using Python and Deep learning frame ...

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI Engineer Advisor to join our team in Pune, Mah?r?shtra (IN-MH), India (IN). Location: | Experience: 8+ years Role Overview We're hiring a Senior AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers ( Azure, AWS, GCP ). You'll lead development across the full lifecycle-problem framing, data/feature/RAG pipeline design, model selection/finetuning, safety/guardr...

As a Generative AI Solution Architect with 7+ years of experience, your role will involve designing, implementing, and scaling AI-powered solutions across enterprise use cases. You will work closely with business stakeholders, data scientists, and engineering teams to ensure the development of scalable, secure, and high-performing AI-driven applications. Key Responsibilities: - Architect end-to-end Generative AI solutions, integrating LLMs, vector databases, APIs, and cloud-native services. - Define system architecture, data flows, and integration strategies between AI models and existing enterprise platforms. - Ensure solutions are scalable, cost-efficient, secure, and aligned with complian...

Ciklum is looking for a Data Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Data Engineer, become a part of a cross-functional development team who is working with GenAI solutions for digital transformation across Enterprise Products. The prospective team you will be working with is responsible for the design, development, and deploym...

Role Overview We are seeking a hands-on AI/ML Engineer with proven expertise in designing, building, and deploying intelligent chatbots. The ideal candidate will not only be technically strong but also capable of leading a small team of junior engineers, setting technical direction, and ensuring high-quality delivery. Key Responsibilities Architect, design, and implement AI-driven chatbot solutions using state-of-the-art frameworks (e.g., Rasa, Dialogflow, LangChain, LLM APIs). Apply Natural Language Processing (NLP) and Machine Learning techniques for intent classification, entity recognition, and conversation management. Lead end-to-end chatbot development lifecycle from data preparation a...

About the Role We are seeking a highly motivated Software Engineer with a strong foundation in Java (Spring Boot) , data integration , and a growing expertise in Large Language Models (LLMs) . This role is ideal for engineers who enjoy working at the intersection of scalable data systems and AI-driven applications , building robust pipelines while also exploring cutting-edge generative AI solutions. Key Responsibilities Design and implement data integrations including APIs, SaaS connectors, and ETL/ELT pipelines to ensure reliable and scalable data flows. Build and maintain backend services and applications using Java (Spring Boot or equivalent frameworks) . Develop Python-based workflows fo...

We are looking for an AI Lead to drive innovation, strategy, and delivery of cutting-edge AI solutions across multiple domains. The ideal candidate will combine hands-on expertise in AI/ML/GenAI with strong leadership skills to guide teams and deliver impactful business outcomes. Key Responsibilities Lead the design, development, and deployment of AI/ML/Generative AI solutions across diverse business domains. Provide technical leadership on LLMs, Generative AI, NLP, Deep Learning, and Machine Learning projects. Oversee end-to-end AI lifecycle from data collection, preprocessing, model design, fine-tuning, evaluation, to deployment and monitoring. Drive initiatives on LLM fine-tuning, prompt ...

Have you built and delivered complete products / applications in AI or otherwise Do you want co-founder-level ownership We'd love to talk to you. About the role This is not a standard job. It's an invitation to become a Partner and Co-founder, working with Australian founders that have a proven track record in running successful businesses in varied sectors. Established in 2006, the company now wishes to build the AI Division from the ground up this means you will be hands on in setting engineering standards, making early stack decisions, developing and launching the first product(s) and hiring and managing the AI Tech team. What's in it for you Equity and Cash Compensation: You will receive...

Key Responsibilities Design, build, and productionize scalable ML/GenAI models and pipelines with a focus on reliability and precision Develop retrieval-augmented generation (RAG) pipelines and agentic systems using advanced LLMs Fine-tune, optimize, and deploy transformer-based models (GPT, Llama, Mistral, etc.) for enterprise use cases Architect and implement multi-agent frameworks (tool-augmented reasoning, orchestration, memory management) Deliver robust APIs and services for ML/GenAI models with performance and cost optimization in mind Collaborate with software engineers and DevOps teams to scale AI systems across environments (cloud, hybrid, on-prem) Drive automation in model deployme...

As an AI Agent Developer at our company, you will play a crucial role in designing, developing, and optimizing autonomous AI agents that interact with systems, users, and APIs to perform complex tasks. Your work will revolve around LLMs, agentic frameworks, and cloud architectures, focusing on developing self-improving AI workflows for automation, coding, and decision-making. Your key responsibilities will include: - Strong Python Programming experience with AI/ML frameworks such as TensorFlow, PyTorch. - Designing, building, and deploying AI agents using LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks. - Integrating large language models (LLMs) (GPT-4, GPT-5, Claude, Llama, Mis...

Key Responsibilities: • Architect, develop, and scale advanced Conversational AI Systems powered by LLMs , RAG , and Agentic AI workflows • Implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain , LangGraph , LlamaIndex , and custom retrieval stacks • Engineer agentic behaviors with tools like AutoGen , CrewAI , LangGraph , or custom frameworks for multi-step reasoning and tool usage • Apply prompt engineering , fine-tuning , and LoRA/QLoRA techniques to customize LLMs (e.g., OpenAI GPT-4/5, Mistral, Claude, LLaMA) • Design pipelines to minimize hallucination and toxic output , ensuring factual accuracy, safety, and alignment • Integrate structured (e.g., MongoDB...

As a Senior AI Consultant at G+D, your role involves enabling RAG-based use cases through fine-tuning and prompt engineering expertise. You will be responsible for translating business requirements into actionable RAG solutions, designing tailored workflows, and driving user training to ensure optimal performance and scalability of AI applications. Your key responsibilities will include: - Interpreting business needs for structured RAG use cases - Advising on RAG workflows - Configuring the SaaS platform - Optimizing LLMs for chatbots and text analytics - Leading user training sessions for continuous improvement Required skills for this role include: - Strong background in AI/ML with hands-o...

Role Overview: You are an experienced AI/ML Engineer with a solid foundation in Machine Learning and Artificial Intelligence, and a minimum of one year of hands-on experience in Generative AI. Your expertise includes proficiency in Python, LLM Models, and emerging techniques such as Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic AI systems. Key Responsibilities: - Design, develop, and deploy AI/ML solutions focusing on generative models and LLMs. - Implement and optimize RAG pipelines for knowledge-aware AI systems. - Fine-tune and customize models for specific domains. - Build and manage agentic AI systems capable of autonomous planning and decision-making. - Collabora...