Artificial Intelligence/Machine Learning Engineer - Neo4j/Deep Learning (3-5 yrs)

Role : AI/ML Engineer

Location : Bangalore

Experience : 3-4 Years

Joining : Immediate (Preferred)

Key Responsibilities :

- Design, develop, and deploy AI/ML models for data-driven applications.

- Work with Neo4j (Graph Database) to model and analyze complex relationships in datasets.

- Implement machine learning algorithms for recommendation systems, predictive analytics, and knowledge graphs.

- Develop and optimize graph-based data pipelines and algorithms using Neo4j Cypher queries.

- Process, clean, and analyze large datasets for feature engineering and model training.

- Integrate ML models into scalable applications using Python, TensorFlow, PyTorch, or Scikit-learn.

- Optimize model performance, accuracy, and scalability for production deployment.

- Collaborate with data scientists, backend engineers, and product teams to enhance AI capabilities.

Required Skills :

- Machine Learning & Deep Learning : Hands-on with ML models, classification, clustering, NLP.

- Neo4j & Graph Databases : Experience in graph data modeling, Cypher queries, and data relationships.

- Programming : Proficiency in Python, TensorFlow, PyTorch, Scikit-learn.

- Data Engineering : Experience with ETL pipelines, data preprocessing, and feature engineering.

- Big Data & Cloud : Exposure to Spark, Kafka, AWS/GCP/Azure (Good to have).

- MLOps & Deployment : Working knowledge of Docker, Kubernetes, CI/CD pipelines.

- Strong Analytical & Problem-Solving Skills for AI-driven applications.

Good to Have :

- Experience with Graph Neural Networks (GNNs) and Graph Data Science.

- Knowledge of NLP, Computer Vision, or Time-Series Analysis.

- Exposure to automated ML pipelines and model monitoring.