What you'll do
- Design, develop, and deploy scalable AI/ML solutions and models using Python.
- Implement and optimize machine learning algorithms, deep learning architectures, and natural language processing (NLP) techniques.
- Collaborate with data scientists and product managers to understand requirements and translate them into technical specifications.
- Develop and maintain robust data pipelines for model training, evaluation, and inference.
- Conduct rigorous testing, validation, and fine-tuning of AI models to ensure accuracy, performance, and reliability.
- Monitor and troubleshoot deployed AI systems, ensuring high availability and continuous improvement.
- Research and evaluate new AI/ML technologies and methodologies to enhance existing solutions and drive innovation.
What you'll need
- Proficiency in Python and its associated libraries for AI/ML development (e.g., NumPy, Pandas, SciPy).
- Extensive experience (5+ years) in designing, developing, and deploying machine learning and deep learning models.
- Strong command of AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Demonstrated ability to develop, optimize, and evaluate algorithms for performance and scalability.
- Experience with MLOps practices, including model versioning, deployment, and monitoring in a production environment.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Solid understanding of data structures, algorithms, and software engineering best practices.
Nice to have
- Experience with MLOps tools and practices (e.g., Kubeflow, MLflow, Docker, Kubernetes)
- Familiarity with various cloud platforms (AWS, Azure, GCP) for scalable AI deployments
- Contributions to open-source AI projects or relevant academic publications
- Knowledge of big data technologies such as Apache Spark or Kafka
- Proficiency in advanced deep learning frameworks like PyTorch or JAX
Benefits
- Opportunity to work on cutting-edge AI projects with global impact
- Modern and collaborative office environment with state-of-the-art facilities
Interested
Send your resume and a brief cover letter to our careers team.