10 Ollama Jobs

As a LLM Engineer at HuggingFace, you will play a crucial role in bridging the gap between advanced language models and real-world applications. Your primary focus will be on fine-tuning, evaluating, and deploying LLMs using frameworks such as HuggingFace and Ollama. You will be responsible for developing React-based applications with seamless LLM integrations through REST, WebSockets, and APIs. Additionally, you will work on building scalable pipelines for data extraction, cleaning, and transformation, as well as creating and managing ETL workflows for training data and RAG pipelines. Your role will also involve driving full-stack LLM feature development from prototype to production. To excel in this position, you should have at least 2 years of professional experience in ML engineering, AI tooling, or full-stack development. Strong hands-on experience with HuggingFace Transformers and LLM fine-tuning is essential. Proficiency in React, TypeScript/JavaScript, and back-end integration is required, along with comfort working with data engineering tools such as Python, SQL, and Pandas. Familiarity with vector databases, embeddings, and LLM orchestration frameworks is a plus. Candidates with experience in Ollama, LangChain, or LlamaIndex will be given bonus points. Exposure to real-time LLM applications like chatbots, copilots, or internal assistants, as well as prior work with enterprise or SaaS AI integrations, are highly valued. This role offers a remote-friendly environment with flexible working hours and a high-ownership opportunity. Join our small, fast-moving team at HuggingFace and be part of building the next generation of intelligent systems. If you are passionate about working on impactful AI products and have the drive to grow in this field, we would love to hear from you.,

As an AI/ML Engineer Generative AI Specialist with over 5 years of experience, you will be expected to possess the following must-have skills: You should have a strong background in AI/ML frameworks such as PyTorch, TensorFlow, and proficient in Python programming. Your experience with AWS services, specifically AWS Bedrock and Lambda functions, will be crucial. Hands-on expertise in LangChain components (agents, chains, memories, parsers, document loaders), developing and optimizing GenAI, NLP models, and CrewAI is essential for this role. You should be capable of building and deploying RAG (Retrieval-Augmented Generation) systems, chatbots, and AI applications using OpenAI APIs, Ollama, Llama, and llamaparse. Advanced prompt engineering techniques like Chain of Thought (CoT) prompting should be within your skill set. Additionally, experience with Docker, CI/CD pipelines, YML files, and GitHub repository management is required. A strong understanding of system design principles, focusing on security, scalability, and performance optimization, is a must. Good-to-have skills include experience in responsible AI practices, knowledge of event-driven architecture, and familiarity with cloud deployments and Kubernetes. Experience with large-scale AI model training and fine-tuning would be beneficial. Your key responsibilities will involve designing and implementing AI/ML solutions using cutting-edge technologies to ensure scalability, efficiency, and alignment with business objectives. You will be responsible for developing and optimizing LangChain components, CrewAI, GenAI, and NLP models customized to specific applications. Building and deploying production-ready RAG systems, chatbots, and AI-driven applications utilizing OpenAI APIs, Ollama, Llama, and llamaparse will be part of your role. Leveraging AWS Bedrock and other AWS services to deliver high-performance AI solutions is crucial. You will need to apply prompt engineering techniques like Chain of Thought (CoT) prompting to enhance AI interactions, maintain CI/CD pipelines, manage YML files, and utilize GitHub for version control. Implementing containerization using Docker and deploying AI solutions in cloud environments will also fall under your responsibilities. Ensuring that solutions adhere to best practices in system design, focusing on security, performance, and efficiency considerations is essential. You will also need to incorporate responsible AI practices and ensure compliance with ethical AI guidelines. Collaboration with cross-functional teams to translate AI insights into impactful solutions and effective communication of complex technical concepts to both technical and non-technical stakeholders will be expected from you.,

Are you a curious mind eager to build real-world AI solutions At Cygnus, we are on the lookout for smart interns ready to innovate with GenAI. You will have the opportunity to work directly with our CTO and product teams to prototype, fine-tune models, and solve practical business challenges using the latest AI tools. This is a paid internship with a path to full-time employment. As a selected intern, your day-to-day responsibilities will include building and deploying AI/ML models for internal tools and client-facing solutions. You will also get to explore and experiment with LLMs such as OpenAI, Ollama, Cohere, etc. Additionally, you will be automating workflows using Python, LangChain, n8n, or similar platforms. Your role will involve researching new GenAI techniques and applying them to our product stack. Collaboration with Sales, Ops, and Supply teams to ship rapid MVPs will also be a key part of your responsibilities. If you are passionate about AI and excited to shape the future of travel, we would love to hear from you. Let's build something amazing together. Good luck! :) About Company: Cygnus is a Pune-based AI-driven Corporate Travel Management Company that is revolutionizing how businesses manage travel. We exclusively work with corporates, offering a comprehensive one-stop solution for all their travel needs - from flights and hotels to visa, MICE, and cab bookings. Our mission is to replace outdated travel processes with a streamlined, tech-savvy approach that solves real-world challenges faced by travel managers. Backed by strong industry connectivity, a skilled professional team, and a commitment to continuous improvement, Cygnus is redefining corporate travel with innovation and efficiency at its core.,

Job Roles and Responsibilities : Frontend/backend chatbot integration with websites, APIS, Telegram, WhatsApp. Manual labelling and formatting of chatbot training data (Hindi + English). Implementation of multilingual UI and chatbot interfaces. Deployment and Devops tasks (CI/CD pipelines, containerization using Docker). Designing chatbot UI/UX for web and mobile. Creating conversation flows and wireframes. Ensuring accessibility and multilingual support (Hindi/English). LLM fine-tuning, training, evaluation, and optimization. Prompt templates, few-shot examples, instruction fine-tuning. Rasa & Ollama (or custom framework) integration. Fallback models for offline/low-resource use. Continuous learning setup via user feedback loops . Al model deployment and monitoring (local/cloud). Last Date of Apply: 27th July 2025

We are urgently looking for an experienced Generative AI Trainer to join our institute and drive excellence in training. Require solid expertise in AI/ML, NLP, and Generative AI (LLMs, LangChain, Transformers, RAG, etc) Send CV at rathij91@gmail.com Required Candidate profile Conduct online & offline classes. Provide proxy interviews & technical support to help students get placed. Prepare assessments, track performance & guide for certifications.

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification using LLMs. Provide post-training support and mentorship when necessary. Skills Kubernetes: Minikube, Helm, kubectl, HPA, KEDA Observability & Monitoring: Prometheus, Grafana, OpenTelemetry, ELK Stack, FluentBit AI/ML: Python, scikit-learn, Prophet, LangChain, Ollama (LLMs) Security Tools: Falco, KubeArmor, Sysdig Secure Dev Tools: Docker, VSCode, Jupyter Notebooks LLMs & Automation: LangChain, Neo4j, GPT-based explanation tools, Slack Webhooks

building various Machine Learning, Deep Learning regression experience in Generative AI tech stack Prompt engineering, ChatGPT Ollama,Gemini, RAG frameworks TensorFlow, Pytorch Huggingface librariesLlamaIndex Langchain Python Visualization Python

Important Points to be noted here before you apply for this job:- 1. This is a 3rd Party Pay-roll opportunity, wherein, the Consultant will be on pay-rolls of Zentek Infosoft and working for the end client of Infosys. Apply ONLY if you are fine to work as a Sub Contractor on 3rd Party Pay-roll . 2. This is a LONG-TERM Opportunity with a Strong Chance of getting converted as Full Time Opportunity with Infosys after few months . 3. One round of Face-to-face Interview is a MUST for this role. If you cannot go for F2F interview, please DO NOT apply. 4. This is a Work from Office opportunity and person is expected to work from one of these offices of Infosys - Bangalore, Pune, Hyderabad. This is NOT a Hybrid or WFH opportunity . Technology Architect AI Experience 10+ years Role Architect and Design GenAI & Agentic solutions that are scalable and adopts opensource technologies Design and oversee development of different GenAI , Agentic solution modules @ enterprise scale. Follows Agile & hybrid SDLC methodology to develop and validate the solutions. Collaborate with other module leads in building end to end solution Work with domain experts in identifying potential use case in GenAI/Agentic area and guide the domain teams to define outcome oriented detail usecases. Plan and execute Proof of concepts to identify new features, solutions and techniques. Lead the team of AI/ML engineers and take ownership on overall design. Plan regular reviews with the enterprise architect teams Technical skills Extensive experience on Python Experience in frameworks like TensorFlow, PyTorch Experience with LLM selection and deployment, Langchain, vllm, TGI, Ollama, and Prompt engineering Experience with deploying agentic framework like LangGraph Experience in vector databases like Qdrant, Milvus etc. Experience in Flask, experience in other Python framework for developing API or Python application is advantageous Extensive experience in Python ML packages Good understanding about data engineering, understanding of data structures, data modelling and data pipeline design in PySpark, Apache Airflow preferable NOSQL DB Cassandra, MongoDB etc. Must have good understanding of Kubernetes . Have knowledge on Open and closed Large language models, small language models Have knowledge on Model training, Model inferencing, RAG, Agents Experience in CICD pipeline, code quality checks, code standardization checks Knowledge on CPU, GPU service offerings from hyperscalers, private clouds Excellent communication and articulation skills Technology Lead AI GenAI Technology Lead Experience 5+ years Role Help architect team in design as well as preparing the development work items for GenAI and Agentic Solutions Lead the development of the assigned work items Contribute to the development through coding, testing and bug fixing Guide junior team members in the development process Work on POCs to explore new features, techniques and solution Track the development progress Technical skills Experience on developing Python modules Experience in Flask, experience in other Python framework for developing API or Python application is advantageous Experience with Prompt engineering Experience with deploying and testing LLM, Langchain, vllm Experience in frameworks like TensorFlow, PyTorch and other Python ML packages Understanding of data structures, data modelling and data pipeline. Experience with Apache Airflow or PySpark is preferable Database integration – Vector DB (e.g. Qdrant, Milvus), SQL (e.g. Postgres, MySQL), NOSQL (e.g. Cassandra, Mongo) Object oriented and functional programming Experience in creating CICD pipelines using Jenkins and other similar platforms Experience in packaging and deploying K8S containers/pods’s Experience in developing UI using ReactJs, Angular, Gradio Complete understanding on integrating UI with backend services to provide user experience Engineers – AI GenAI/Agentic AI engineers Experience 3+ years Role Contribute to the development through coding, testing and bug fixing Help team members in the development process for GenAI and Agentic Solutions Work on POCs to explore new features, techniques and solution Provide timely status to the managers Technical skills Experience on Python in script and application development. Flask and API Python web service development Experience in Python ML packages Awareness on frameworks like TensorFlow, PyTorch Prompt engineering Understanding of data structures, data modelling Database awareness – SQL, NOSQL, Vector DB Object oriented and functional programming Experienced in working on Git Experience in developing UI using ReactJs ,Angular,gradio Experience in developing and deploying backend python services Experience in UI integration with backend service and develop UI models that can render text, images, documents,etc.. ABHISHEK.SHARMA@ZENTEKINFOSOFT.COM

Job Title : AI Engineer Location: Chennai Experience: 5+ Years (Hands-On Data Science & AI) Employment Type: Full-Time Work type - Work from office. About the Role We are seeking a skilled AI Engineer with deep hands-on experience in ML, NLP, LLMs, GenAI, and Agentic AI to join our technology team focused on automating US mortgage loan processing workflows. This role involves designing intelligent, scalable solutions using cloud-native MLOps and advanced AI/LLM orchestration tools on Azure. Key Responsibilities Design and implement ML/NLP/GenAI pipelines for automating loan origination, underwriting, and document intelligence processes. Develop and deploy LLM-based solutions using tools like Ollama, OpenAI, HuggingFace, and integrate via LangChain or similar frameworks. Build and orchestrate Agentic AI systems (e.g., using LangChain Agents, AutoGen, CrewAI) to enable autonomous decision-making, task planning, and loan-processing agents. Fine-tune domain-specific LLMs and embeddings for intelligent document classification, summarization, and question answering. Develop end-to-end MLOps workflows for scalable training, testing, and monitoring of models. Deploy AI models and microservices using Azure (Azure ML, Functions, Blob Storage, App Services). Work with cross-functional teams to ensure compliance, explainability, and effectiveness of AI solutions. Leverage prompt engineering, RAG (Retrieval-Augmented Generation), and vector stores for contextual mortgage document workflows. Required Skills & Qualifications 5+ years of hands-on experience in Machine Learning, NLP, or LLM-based systems. Proven expertise with LLMs (e.g., OpenAI, Ollama, GPT-4, Mistral) and LangChain / AutoGen / Agentic AI design. Proficiency in Python, Scikit-learn, PyTorch/TensorFlow, Spacy, HuggingFace Transformers. Strong knowledge of Azure Cloud including Azure ML, Azure Functions, Azure DevOps. Experience with MLOps tools like MLflow, Azure ML pipelines, or Kubeflow. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Experience deploying models into production-scale environments. Nice to Have Understanding of US mortgage or lending workflows (1003, 1008, bank statements, etc.). Experience with OCR, document intelligence tools (Azure Form Recognizer, Amazon Textract). Exposure to Agentic AI concepts such as autonomous agents, planning, memory chaining. Knowledge of privacy and compliance frameworks (HIPAA, SOC2) in AI deployments. What We Offer Opportunity to lead GenAI and Agentic AI initiatives for mortgage automation. Access to top-tier tools, frameworks, and cloud platforms. Remote flexibility and career growth in an innovation-first team. Impactful work transforming legacy loan operations through AI. Interested candidates kindly share your resume to SGrace@ca-usa.com.

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification using LLMs. Provide post-training support and mentorship when necessary.