As a Machine Learning Engineer at Pynea, you will be responsible for developing, implementing, and optimizing machine learning models to support core Pynea features and services. You will work on deploying state-of-the-art recommendation algorithms using Python and relevant libraries such as TensorFlow, PyTorch, and Keras. Your role will involve deploying models and making them accessible via APIs for consumption by the Pynea backend. Additionally, you’ll tackle challenges related to user recommendation/matching, suspicious usage patterns, content discovery, tag mapping, and data categorization. Supporting and driving the implementation of features around Natural Language Processing (NLP) is also part of your responsibilities.
Key Qualifications:
- 3+ years of industry experience as a Machine Learning Engineer.
- Strong interest and expertise in AI, Deep Learning, and their applications in real-world scenarios.
- Experience with large distributed systems, deep learning, neural networks, and/or natural language processing.
- Excellent problem-solving skills and algorithmic thinking.
- Effective communication skills and ability to collaborate with cross-functional teams.
Preferred Qualifications:
- Previous experience in Big Tech, SaaS, E-commerce, or an Ads Network.
- Startup mentality and experience.
- Familiarity with AWS.
- Knowledge of the social networking or B2C space.
- Degree in Computer Science, Data Science, Mathematics, or a related field.
Pynea is an equal opportunities employer, promoting diversity and inclusion in its workforce. The company does not discriminate on the basis of race, religion, natural origin, gender, sexual orientation, disability, age, or any other legally protected status. They recognize the importance of building a diverse team to effectively meet the needs of their diverse user base.
