Artificial Intelligence Engineer - Machine Learning

<p><p><b>Key Skills and Experience :</b></p><p><p><b><br/></b></p>- Over 2 years of practical experience in applying AI to real-world and comprehensive technology solutions<br/><br/></p><p>- Expertise in machine learning and deep learning, including technologies such as TensorFlow, Python, and NLP<br/><br/></p><p>- Proficient in programming languages commonly used in AI, such as Python, R, and Java<br/><br/></p><p>- Hands-on experience with machine learning frameworks such as TensorFlow and PyTorch<br/><br/></p><p>- Strong knowledge of fundamental algorithms, object-oriented and functional design principles, and best-practice patterns<br/><br/></p><p>- Skilled in essential techniques for ML projects, including data preprocessing, feature engineering, and model evaluation<br/><br/></p><p>- Experienced with version control systems (e.g., Git) for effective team collaboration and code management</p><p><br/></p><p>- Scope of work is as follows and the Engineer will be coming to our office and Applications and Areas of Interest :</b></p><p><b><br/></b></p>- Internal tools automation (e.g., co-pilots for operations, workflow optimization)<br/><br/></p><p>- Smart form filling, rule generation, and automated data extraction<br/><br/></p><p>- Development of generative AI tools using large language models (LLMs)<br/><br/></p><p>- Construction of Retrieval-Augmented Generation (RAG) systems<br/><br/></p><p>- Design of agents using LangChain and implementation of Graph RAG architectures<br/><br/></p><p>- Building an embedding-based search infrastructure using vector databases such as Chroma and </p><p>Weaviate<br/><br/></p><p>- Prototyping and PoC development leveraging open-source LLMs or APIs (e.g., OpenAI, Anthropic, Cohere, Gemini, Copilot)<br/><br/></p><p>- Integration of simple UI using tools like Git and lightweight front-end frameworks<br/><br/></p><p>- Hands-on experience with chatbots, intelligent document processing, and agent-assist tools</p><p><br/></p><p>Contract role - Duration: 6-12 Months</p><br/></p> (ref:hirist.tech)