AI / ML Developer

Requirements

• Minimum of (3+) years of experience in AI-based application development.
• Experience fine-tuning large language models (LLMs) or working with domain-specific AI models.
• Experience building production-grade AI applications using RAG, AI agents, or multi-agent systems.
• Familiarity with Vector Search, Knowledge Graphs, and AI observability/evaluation frameworks.
• Experience deploying AI/ML solutions using Docker, Kubernetes, and cloud-native services.
• Contributions to open-source AI projects, research publications, or participation in AI communities are a plus.
• Proficiency in Python (libraries like NumPy, Pandas, Scikit-learn, and PyTorch/TensorFlow).
• Strong understanding of machine learning (ML) and deep learning (DL) algorithms.
• Hands-on experience with computer vision techniques (image classification, object detection, and segmentation).
• Practical experience with Generative AI and Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Claude, Gemini, or similar models.
• Experience building RAG (Retrieval-Augmented Generation) pipelines for enterprise applications.
• Hands-on experience building AI agents and agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or similar orchestration frameworks.
• Familiarity with no-code / low-code AI automation platforms such as n8n, Dify, Flowise, or LangFlow.
• Hands-on experience with Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS, or Qdrant)
• Experience with classification tasks and building predictive models.
• Proficiency with deep learning frameworks: PyTorch and/or TensorFlow / Keras.
• Exposure to NLP techniques or libraries (NLTK, Hugging Face, spaCy).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Familiarity with MLOps practices and tools (Docker, MLflow, Git, CI/CD).
• Strong analytical and problem-solving abilities with a passion for solving real-world business challenges.
• Ability to translate business requirements into scalable AI and machine learning solutions.
• Excellent communication and collaboration skills for working with cross-functional teams and clients.
• Self-motivated learner with enthusiasm for exploring emerging AI technologies and industry trends.
• Ability to work independently while effectively managing priorities in a fast-paced environment.
• Strong ownership mindset with attention to quality, performance, and continuous improvement. This job was posted by Smit Thakkar from MindInventory.