Machine Learning / AI Engineer at Invenzo Labs in Bengaluru

Invenzo Labs is seeking a talented Machine Learning / AI Engineer to join their team in Bengaluru. This role involves designing, developing, and deploying advanced AI and ML solutions to tackle diverse business challenges. You will be instrumental in building cutting-edge AI-powered applications, from traditional ML models to sophisticated LLM-based systems and AI-driven search functionalities.

Key Responsibilities

• Design, develop, and deploy traditional machine learning models including XGBoost, Random Forest, and Gradient Boosting for diverse business use cases.
• Perform end-to-end data workflows: data analysis, preprocessing, feature engineering, model training, validation, and evaluation.
• Build and integrate AI-powered chatbots using Large Language Models (LLMs).
• Design and implement AI-based search systems, including semantic search, vector search, hybrid search, and relevance optimization.
• Develop scalable, high-performance RESTful APIs using Python and FastAPI for ML/AI services.
• Work with structured and unstructured data using SQL, Elasticsearch, and MongoDB.
• Implement and manage vector databases (e.g., Pinecone) for embeddings, semantic retrieval, and knowledge-based applications.
• Apply computer vision techniques for image-based AI solutions where applicable.
• Deploy and maintain ML/AI solutions in production environments, ensuring scalability, monitoring, and performance optimization.
• Collaborate with cross-functional teams to integrate AI capabilities into existing products and services.
• Maintain clean, version-controlled codebases using Git repositories and follow collaborative development workflows.

Required Skills & Qualifications

• Strong understanding of traditional machine learning algorithms, including:
  • XGBoost
  • Random Forest
  • Gradient Boosting methods
• Solid foundation in data science, statistics, and data analysis techniques.
• Practical experience with LLMs, chatbot development.
• Proficiency in Python and backend development using FastAPI.
• Experience with databases and search systems:
  • SQL databases
  • Elasticsearch
  • MongoDB
• Hands-on experience with vector databases (e.g., Pinecone) and embedding-based retrieval systems.
• Knowledge of AI-based search techniques, including semantic search, similarity search, query expansion, and ranking optimization.
• Experience in computer vision model development and implementation.
• Understanding of model deployment, API scaling, and production-grade ML system architecture.
• Familiarity with Git, branching strategies, and collaborative repository workflows.
• Strong problem-solving skills with the ability to translate business requirements into AI/ML solutions.