About the role

Role Overview

As an AI Engineer, you will design and develop AI/ML solutions, build AI-powered applications, and integrate machine learning models into production systems for enterprise needs.

Responsibilities

Develop and deploy machine learning and AI models
Design AI-powered applications and services
Build and fine-tune LLM-based (Large Language Model) solutions
Implement NLP, computer vision, or predictive analytics solutions
Integrate AI models into production systems and APIs
Train and evaluate models using large datasets
Optimize model performance, scalability, and accuracy
Collaborate with data engineers and product teams to deliver AI solutions
Stay current with emerging AI technologies
Support the full ML lifecycle: data processing → deployment → monitoring

Required Skills

Strong Python programming
Experience with TensorFlow, PyTorch, and Scikit-learn
Data science libraries: Pandas, NumPy, Matplotlib
Experience with NLP or deep learning techniques
Understanding of ML lifecycle and model evaluation
Ability to deploy models into production environments

Preferred Skills

Experience operationalizing LLM-based solutions
Retrieval-Augmented Generation (RAG) using vector databases and enterprise data sources
Experience with cloud AI services
Knowledge of MLOps tools and pipelines

About Invasystems Inc

Invasystems Inc builds AI and machine learning solutions for enterprise use cases. The role focuses on designing, developing, deploying, and optimizing AI/ML models and integrating them into production applications and services.