Description
If you have an extended experience with NLP, come join our team of exports. As an extended member of the NLP team, you will research,
prototype, develop, deploy and scale innovative NLP/text analytics solutions in collaboration with other NLP Scientists and Data Engineers.
You will deploy a variety of text analytics models on large-scale datasets to address various business challenges leveraging
advanced NLP, machine learning, or deep learning techniques.
Qualifications
- Graduated with a computer science, computer or electrical engineering degree
- 3+ years of experience in programing languages in Python
- 3+ years of experience in designing, developing, and implementing deep learning models, applied to text data.
- 3+ years of experience in working with prebuilt models like, BERT, T5, OpenAI.
- Very good understanding of commonly used NLP and deep learning libraries such as PyTorch, Tensorflow,
TextBlob, Transformers, Keras, SKLearn, Gensim, SpaCy, NLTK, and so-forth.
- Proven ability to convey rigorous technical concepts and considerations to non-experts.
Good to have
- Master’s or PhD degree in computer science, computer or electrical engineering.
- Experience with distributed computing with Apache Spark (pyspark).
- Working experience in services offered by cloud technologies such as AWS and Azure.
- Familiar with preprocessing and parsing text data stored in various formats such as PPT, DOC, PDF.
- 1+ years of experience in working with pre-trained models in image processing domains.
- Familiarity with CI/CD pipelining and understanding of any automation server, e.g., Jenkins.
- 2+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication.
- Excellent verbal and written communication skills in English with the ability to effectively advocate technical solutions to engineering teams and business audiences.
We Offer
- Very competitive salary.
- Vast possibility to grow in the field of NLP, data science and applied machine learning.
- A truly ambitious, fun and inspiring work environment.
- A modern work equipment.
- Friday drinks in our office. We celebrate our success!
- Our team in Pakistan is growing rapidly - more perks to come!