
AI Model Developer
1 week ago
- We design, develop and deploy machine learning models to address complex real-world challenges.
- We build and optimize data pipelines for training, testing and inference purposes.
- We train, evaluate and fine-tune models across supervised, unsupervised and deep learning techniques.
- We collaborate with product managers, engineers and designers to integrate AI solutions into our applications.
- We deploy models into production using APIs, Docker or cloud-native platforms.
- We monitor performance, retrain models and ensure scalability and reliability.
- We document experiments, model architectures and performance insights.
- We are looking for individuals with strong programming skills in Python (NumPy, Pandas, Scikit-learn).
- Hands-on experience with TensorFlow, PyTorch or Keras is a must.
- A solid understanding of machine learning algorithms, statistics and data structures is essential.
- Familiarity with cloud platforms (AWS, GCP or Azure) is also required.
- Experience working with REST APIs, Git and Docker is necessary.
- Experience with MLOps practices (CI/CD pipelines, model monitoring) would be an advantage.
- Exposure to NLP, computer vision or LLMs (BERT, GPT, etc.) would be beneficial.
- Knowledge of tools like MLflow, Weights & Biases or Streamlit/FastAPI would be an asset.
- We work on AI projects that merge technology with social impact.
- We value creativity, inclusivity and continuous learning.
- We collaborate with a global team of innovators and changemakers.
- We empower people worldwide through our mission.
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