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1 week ago
Contribute to pioneering AI solutions and collaborate with an international team.
About the RoleYou will have the opportunity to design and develop cutting-edge machine learning models for business-specific problems, including NLP, computer vision, predictive modeling, and recommendation systems. Your expertise in custom model development, training, and end-to-end pipeline creation will drive impactful results.
Key Responsibilities- Design and Develop Models: Create custom machine learning and deep learning models for complex business problems.
- Build Scalable Pipelines: Construct and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
- Cross-Functional Collaboration: Work with cross-functional teams to integrate AI solutions into real-world products.
- Deployment and Optimization: Ensure high-performance, scalable, and production-ready deployment using MLOps practices and optimize models with advanced techniques.
- Bachelor's/Master's in Computer Science, Artificial Intelligence, Data Science, or related field.
- 5+ years of hands-on experience in developing AI/ML solutions.
- Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, Hugging Face.
- Proven track record in building and managing ML pipelines (Airflow, Kubeflow, MLflow, Prefect, etc.).
- Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
- Hands-on experience with cloud AI/ML platforms (AWS Sagemaker, Azure ML, or GCP Vertex AI).
- Familiarity with containerization and orchestration (Docker, Kubernetes).
We offer a competitive salary and growth opportunities, as well as access to cutting-edge AI research and tools. This is a unique opportunity to own end-to-end AI solutions with autonomy and creativity.
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