AI ML Engineer - Internship

As an AI/ML Engineer at Axension AI, you will play a crucial role in designing, developing, and optimizing machine learning models and AI agents for real-world applications. Your responsibilities will include: - Designing, developing, and deploying machine learning models for real-world applications - Building Agentic AI systems capable of reasoning, planning, memory management, and task execution - Developing multi-agent workflows and autonomous pipelines - Integrating Large Language Models into production systems - Building and maintaining intelligent automation workflows using tools such as n8n and custom orchestration layers - Developing prompt strategies, tool-calling logic, and agent decision frameworks - Optimizing model performance, latency, cost, and reliability - Working with vector databases, embeddings, and retrieval systems - Participating in system architecture design and technical roadmap planning - Testing, evaluating, and continuously improving AI systems - Documenting architectures, models, and workflows clearly **Technical Requirements:** - Strong foundation in Machine Learning and Artificial Intelligence - Proficiency in Python - Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn - Solid understanding of Large Language Models, transformers, and prompt engineering - Hands-on experience or strong interest in Agentic AI and Autonomous Agents - Familiarity with n8n or similar automation and orchestration platforms - Experience working with APIs, webhooks, and system integrations - Understanding of data preprocessing, feature engineering, and evaluation techniques - Experience with vector databases such as FAISS, Pinecone, or Weaviate - Knowledge of cloud platforms including AWS, GCP, or Azure - Exposure to MLOps, model deployment, and CI/CD - Experience building chatbots, copilots, or workflow automation systems If you are a quick learner who adapts fast to new technologies, passionate about building real AI systems, possess strong problem-solving and analytical mindset, comfortable working in fast-moving startup environments, and are curious, disciplined, and execution-focused, we are looking for you. **What You'll Gain:** - Hands-on experience building next-generation AI systems - Direct exposure to Agentic AI architectures - Mentorship from senior engineers - Opportunity to work on impactful, production-grade technology - Strong portfolio projects - Paid role after 6 months based on performance Please note that this is a remote, unpaid opportunity for the first 6 months. High performing candidates will be offered a paid position after successful completion. Only candidates who are available for a work from home job/internship, have relevant skills and interests, and are Computer Science Engineering students can apply for this position. Stipend: Competitive stipend Deadline: 2035-01-01 00:00:00 As an AI/ML Engineer at Axension AI, you will play a crucial role in designing, developing, and optimizing machine learning models and AI agents for real-world applications. Your responsibilities will include: - Designing, developing, and deploying machine learning models for real-world applications - Building Agentic AI systems capable of reasoning, planning, memory management, and task execution - Developing multi-agent workflows and autonomous pipelines - Integrating Large Language Models into production systems - Building and maintaining intelligent automation workflows using tools such as n8n and custom orchestration layers - Developing prompt strategies, tool-calling logic, and agent decision frameworks - Optimizing model performance, latency, cost, and reliability - Working with vector databases, embeddings, and retrieval systems - Participating in system architecture design and technical roadmap planning - Testing, evaluating, and continuously improving AI systems - Documenting architectures, models, and workflows clearly **Technical Requirements:** - Strong foundation in Machine Learning and Artificial Intelligence - Proficiency in Python - Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn - Solid understanding of Large Language Models, transformers, and prompt engineering - Hands-on experience or strong interest in Agentic AI and Autonomous Agents - Familiarity with n8n or similar automation and orchestration platforms - Experience working with APIs, webhooks, and system integrations - Understanding of data preprocessing, feature engineering, and evaluation techniques - Experience with vector databases such as FAISS, Pinecone, or Weaviate - Knowledge of cloud platforms including AWS, GCP, or Azure - Exposure to MLOps, model deployment, and CI/CD - Experience building chatbots, copilots, or workflow automation systems If you are a quick learner who adapts fast to new technologies, passionate about building real AI systems, possess strong problem-solving and analytical mindset, comfortable working in fast-moving startup environme