Ask HN: Who wants to be hired? (December 2019)

Location: Bangalore (India)

Remote: No

Willing to relocate: Yes

Technologies: Python, Django, Docker, HTML, Javascript, Database, Machine Learning,scikit learn, Numpy, Pandas, GIT, Linux.

Email: jagjyotsna@gmail.com Resume: https://www.dropbox.com/s/eaf9aa17akvso63/Jyotsna%20Rupaliya...

I am junior developer experienced in developing web apps and python modules, interested in the field of machine learning.

Location: Dublin, Amsterdam, Paris, Berlin, London

Remote: Yes

Willing to relocate: Yes

Technologies: Python (incl. Numpy, Pandas, Scikit-Learn, Tensorflow), Java, R, SQL

Resume/CV: https://drive.google.com/file/d/1XyA63wIzOpREexwfV_usp9X7VSQ... Email: kamisligul@gmail.com

I’m a MSc graduate in Computer Science at Oxford. I am enthusiastic about data science and machine learning with an interdisciplinary education in industrial engineering and computer science. Interested in a full-time position where I can utilise my current skills and knowledge, and I can further develop these skills in a practical and fast-paced environment.

  Location: Geneva, London, Paris
  Remote: Yes
  Willing to relocate: Yes
  Technologies: Ruby on Rails, JavaScript, jQuery, HTML, CSS, Bootstrap
  Résumé/CV: https://www.linkedin.com/in/victoriavassileva/
  Email: Just reach out to me through LinkedIn. I will be happy to share my email if necessary. Or reply here.

I'm a MSc graduate in Information Systems & Digital Innovation at LSE. I have also recently completed Le Wagon Full-Stack developer certification. I am seeking an entry-level position.

Location: India

Remote: Yes

Willing to relocate: Yes

Technologies/Skills: Natural Language Processing, Deep Learning, pandas, numpy, tensorflow, python, gcloud (gcp), aws, docker, sklearn

Resume: https://drive.google.com/file/d/1WiYxICiUjAumAK67t8NRHc7Ah9f...

Email: sharmabhanu546@gmail.com

Work Experience: >2 years

I have been working as a Machine Learning engineer for more than two years. I have majorly worked on deriving insights from legal contracts. I have worked variety of different models such as building BERT based legal NER systems, question answering models for contracts, abstractive text summarisers using transformers. I have also been involved in developing auto-train pipelines and an hierarchical multi-classifier system that produces a RAG analysis for a given legal contract. Apart from NLP i have also worked on object detection and localisation task along with image captioning. I also have experience in deploying the models to production using tf serving, docker and kubernetes. More information about my work and various projects can be found in my CV.