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STEP 1:
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https://www.linkedin.com/jobs/view/4271816466

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Job Description:

• Participate in the development, application, optimization, and integration of AI models for real-world Business/Banking problems in areas such as Computer Vision, Natural Language Processing (NLP), etc.
• Contribute to various service deployment phases: system architecture, operational model design, workflow, functional design, and performance optimization.
• Participate in coding, metric testing, service development, and unit testing in alignment with DevOps and MLOps methodologies.
• Research and explore the latest scientific publications in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).
• Join training programs and trainee projects with the goal of progressing to official/full-time positions.

Job Requirements:

• Final-year student or recent graduate (within 1 year) in relevant majors: Information Technology, Computer Science, Electronics & Telecommunications, Software Engineering, Information Systems, etc.
• Candidates should have knowledge in one or more of the following areas:

• Programming languages: Python, C/C++
• Service/Microservice development using one of the frameworks: FastAPI, Flask, or Django
• AI/ML frameworks: TensorFlow, PyTorch, DGL, PyG, ONNX
• APIs: RESTful, gRPC; secure coding practices with performance optimization
• Version control & deployment tools: Git (Git Flow), Docker, Kubernetes, Kubeflow, MLflow, Triton Inference Server, TensorFlow Serving
• Machine learning problem types: Supervised Learning, Reinforcement Learning
• Data types & processing: Image (Computer Vision), Video, Audio, Natural Language (NLP)
• Model architectures & algorithms: CNN, RNN, Transformer, Attention, SVM, KNN, Clustering, GNN, etc.
• Model optimization techniques: Knowledge Distillation, Model Pruning, Model Quantization