AI Engineer

About Us:

MT3 Technology, a leading technology firm, specializes in utilizing data-driven insights to spearhead innovations in electronic systems. Our commitment to impactful solutions has established us as a frontrunner in the tech industry. We are on the lookout for a seasoned Data Consultant with a minimum of 5 years of experience to join our team and contribute to leveraging data for organizational success.

What we are looking for:

A Data Scientist with strong experience in designing, building, and optimizing intelligent systems powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and advanced Natural Language Processing (NLP) solutions. Brings a solid background in machine learning, deep learning, and actively follows the latest advancements in Generative AI (GenAI) technologies.

Skilled in developing and deploying RAG pipelines that integrate LLMs with external knowledge bases, building robust NLP systems for tasks such as summarization, semantic search, and question answering, and fine-tuning transformer models for domain-specific applications. Experienced in collaborating with stakeholders to integrate models into production environments, analyzing large-scale text datasets to extract actionable insights, and exploring cutting-edge techniques in embeddings, vector databases, and LLM architectures.

• Programming Languages: (6+ years): Python, C, Java, C++ (advanced proficiency)
• Deep Learning (6+ years): PyTorch, TensorFlow, Transfer Learning
• Machine Learning (6+ years): scikit-learn, XGBoost, LightGBM
• Natural Language Processing (NLP) (3+ years): Tokenization, Named Entity Recognition (NER), Embeddings. Sentence Similarity, Transformer Architectures
• Large Language Models (LLMs) (3+ years): GPT (OpenAI), LLaMA, Claude, Mistral
• RAG Frameworks (3+ years): LangChain, LlamaIndex, Custom Implementations
• Embedding Models (3+ years): OpenAI Embeddings, SentenceTransformers, InstructorXL
• Vector Databases (3+ years): Chroma, FAISS, Weaviate, Pinecone
• Model Deployment (3+ years): FastAPI, Flask, Streamlit, or similar frameworks
• Cloud Platforms (6+ years): AWS, Google Cloud Platform (GCP), Microsoft Azure
• Academic Background: M.Sc. or Ph.D. in Computer Science, Mathematics, Engineering, or related field
• Computer Vision Knowledge (Nice to have)
• Production Experience: ML/DL models deployment in cloud environments. Integrated models into real-world applications