
Data Driven AI Engineer
2 days ago
Job Description:
We are seeking a highly skilled AI/ML engineer to join our global team and contribute to impactful large-scale AI solutions. As an AI model developer, you will design and develop custom machine learning models for business-specific problems, build and maintain scalable AI/ML pipelines, and collaborate with cross-functional teams to integrate AI solutions into real-world products.
Key Responsibilities:
- Develop and train custom machine learning and deep learning models using Python and frameworks like PyTorch and TensorFlow.
- Build and maintain scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.
- Collaborate with cross-functional teams to integrate AI solutions into real-world products.
- Ensure high-performance, scalable, and production-ready deployment using MLOps practices.
- Optimize models with advanced techniques like hyperparameter tuning and distributed training.
Requirements:
- Bachelor's/Master's degree 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, and Hugging Face.
- Proven track record in building and managing ML pipelines using Airflow, Kubeflow, MLflow, and Prefect.
- Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
- Hands-on experience with cloud AI/ML platforms like AWS Sagemaker, Azure ML, and GCP Vertex AI.
- Familiarity with containerization and orchestration using Docker and Kubernetes.
Benefits:
- Work on international AI projects with a leading digital solutions partner.
- Competitive salary and growth opportunities.
- Remote-first, flexible working culture with cross-border collaboration.
- Access to cutting-edge AI research and tools.
- A chance to own end-to-end AI solutions with autonomy and creativity.
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