AI/ML Engineer - Methods & Tools
Bangalore (Airbus), India
INR 1200K-2500K (estimate) Mid-level Full Time
Tasks
- Build MLOps pipelines for training testing deployment
- Collaborate with data scientists and product managers
- Design build and query knowledge graphs
- Develop computer vision solutions for object detection image segmentation image classification
- Develop optimize deploy machine learning models
- Evaluate new AI technologies for product roadmap
- Fine tune models for latency throughput resource utilization
- Integrate AI capabilities into core platform
- Monitor deployed models and automate model lifecycle
Perks/Benefits
Skills/Tech-stack
AWS | AWS Neptune | Apache Spark | Azure | Computer Vision | DVC | Fine Tuning | GCP | Go | Graph Databases | Graph Neural Networks | Hugging Face | Image Segmentation | Image classification | Kafka | Keras | Knowledge graphs | Langchain | Llamaindex | MLOps | MLflow | Neo4j | NetworkX | Neural Networks | NumPy | ONNX | Object Detection | OpenCV | Pandas | PyTorch | Python | RAG | Scikit-learn | Snowflake | TensorFlow | TensorRT | Vector Databases | YOLO
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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