Key Responsibilities

Design and develop AI/ML solutions using Python.

Build and optimize graph data models using TigerGraph.

Develop graph analytics and knowledge graph applications.

Integrate AI models with graph databases for intelligent search, recommendations, and fraud detection.

Write productive GSQL queries and optimize graph performance.

Build APIs and microservices for AI applications.

Collaborate with data scientists, software engineers, and business stakeholders.

Perform data preprocessing, feature engineering, and model evaluation.

Monitor, troubleshoot, and improve AI model performance in production.

Required Skills

Solid programming skills in Python.

Hands-on experience with TigerGraph and GSQL.

Experience with graph databases and graph algorithms.

Knowledge of Machine Learning and Deep Learning concepts.





Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Familiarity with REST APIs and microservices.

Experience with SQL/NoSQL databases.

Solid problem-solving and analytical skills.

Experience with Git and CI/CD pipelines.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

5+ years of experience in AI/ML development.

Experience with Knowledge Graphs, NLP, or Graph Neural Networks (GNNs).

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Experience with Docker and Kubernetes.

📌 Ai Engineer Bengaluru (India)
🏢 Dew Software
📍 India