FINVASIA - Artificial Intelligence Engineer
6 days ago
Description :Job Title : Artificial Intelligence Engineer (AI Engineer).Location : Mohali.Experience Required : 2-4 Years.Job Overview :We are looking for a technically proficient Artificial Intelligence Engineer to join our AI Team.This role involves end-to-end development of scalable solutions using Generative AI, Machine Learning(ML), Large Language Model (LLMs), Natural Language Processing (NLP), and vector search technologies.You will be responsible for implementing and optimizing AI/ML models for real-world business use cases, ensuring high performance and seamless production integration.Key Responsibilities :- Develop Generative AI applications such as Retrieval-Augmented Generation (RAG) systems, AI agents, and LLM fine-tuning pipelines.- Design and implement Machine Learning models for regression, classification, and time series forecasting tasks.- Work with LLMs (e.g., GPT, BERT, LLaMA) and integrate them using frameworks like LangChain, Hugging Face, and OpenAI APIs.- Leverage vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and similarity-based retrieval.- Build and maintain automated AI/ML pipelines for data preprocessing, training, evaluation, and deployment.- Implement prompt engineering and fine-tuning strategies for task-specific LLM performance improvements.- Knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) to manage structured and unstructured data.- Understanding of Statistics, including hypothesis testing, distributions, and statistical modelling techniques essential for building robust ML models.Required Skills & Experience :- Strong knowledge of supervised and unsupervised learning algorithms with real-world application experience.- Strong Proficiency in Python and machine learning libraries such as scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.- Hands-on experience with LLMs, embedding models, and retrieval-based architectures.- Proficient in vector search technologies and building GenAI-powered applications.- Experience deploying models on AWS or similar cloud platforms.- Familiarity with version control (Git), DevOps principles, and agile workflows.Preferred Skills :- Collaborate with cross-functional teams to translate business problems into scalable AI solutions.- Strong understanding of SDLC, containerization, and model monitoring in production.- Exposure to FinTech or financial services use cases involving real-time or compliance-heavy data.- Ability to work with Product managers, Stakeholders and Data engineering teams to frame AI-first solutions for complex business problems.Educational Qualifications :- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. (ref:hirist.tech)
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