A bachelor's degree in computer engineering, computer science, mathematics, statistics, or a related field.
Strong passion in building cutting-edge machine learning algorithms or models to solve real-world problems.
Experience and exposure in Advanced Computer Vision, Image processing and Machine Learning, NLP, LLM.
Strong programming skills in Python such as Scikit-learn, Pandas, LLM tools, etc.
Experience with deep learning libraries (e.g., PyTorch, TensorFlow etc.) and deep learning models/algorithms. (e.g., CNNs, RNNs, attention, transformers etc.)
Experience building high-quality predictive models. (classification, regression)
Strong written and verbal communication skills.
Strong analytic and innovative minds, as well as self-awareness and growth mindsets.
Nice to have:
A Master or Ph.D. degree in computer engineering, computer science, mathematics, statistics, or a related field.
Experience as a data scientist for 1 year.
Production-grade code quality.
Good understanding of how to design experiments and choose/construct the right metrics for engineering/business success.
Industry experience building/owning end-to-end AI applications or data products.
Knowledge of structure and semi-structure databases such as SQL, PostgreSQL, and Elasticsearch.
Experience with big data technologies such as Spark, Hive, etc.
Software engineering skills.
Good understanding of MLOps and AWS cloud tools.
We offer:
Become a part of a dynamic, growing company that values your contributions and embraces new ideas.
Smart and fun teammates to collaborate with and learn from.
A great culture that allows you to experiment, learn from mistakes and grow fast.
A competitive compensation package with generous benefits.
