
Chief Artificial Intelligence Architect
2 weeks ago
A Data Scientist will be responsible for developing and optimizing machine learning models, implementing deep learning architectures, preprocessing large datasets, fine-tuning models for performance, accuracy, and efficiency. They will also deploy ML models into production environments, collaborate with data engineers to build robust data pipelines, conduct research on emerging AI/ML technologies, write clean code, perform model evaluation, A/B testing, and error analysis, and work with stakeholders to understand business requirements.
Requirements:
- 2-4 years of experience in AI/ML development.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Keras.
- Strong understanding of Machine Learning algorithms, deep learning architectures, and statistical modeling.
- Experience with data preprocessing, feature engineering, and model optimization.
- Familiarity with big data technologies (Spark, Hadoop) and databases (SQL, NoSQL).
- Understanding of NLP, computer vision, or reinforcement learning is a plus.
- Ability to work both independently and collaboratively in a fast-paced, agile environment.
- You have an eye for detail, esp. around user experience and secure coding practices.
- A strong drive to learn and explore.
The Ideal Candidate:
- Is by nature highly team-oriented and collaborative. Believes the best work can be achieved when a talented group of smart people work effectively together.
- Has proper understanding of semantic markup and knows how to build interactive pieces that comply with web accessibility standards.
- Has personal projects or frontend related code contributions to open-source community and actively publishes on web development related topics.
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