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Machine Learning Data Engineer

BlueOptima
Bengaluru, IND
Full-time
Mid · 3+ years experience
Hybrid
Discovered 6 days ago
grafanakeraskubernetespostgresqlpythonpytorch

Full Job Posting

Benefits:

  • 🏖️33 days of holidays (this includes public and religious holidays) 💰Contributions to your Provident Fund which can be matched by the company above the statutory minimum as agreed 💸Gratuity payments 🏥Private Medical Insurance provided by the company (Employee + Spouse + 2 Children + 2 Parents) 👶12 Weeks Paid Paternity Leave, 6 months Maternity leave 🧸 Support with childcare costs (50%) 💻 Work from Home Equipment allowance 🏠 Flexible Work from Home policy - 2 days home p/w 🌍 Flexible Work from Long Distance - 4 weeks a year 📚 Sponsored Learning Opportunities 🎉 Team Socials
  • Stay connected with us on LinkedIn or keep an eye on our career page for future opportunities!
  • BlueOptima’s vision is to become the global reference for the optimisation of the performance of Software Engineers across all industries. We provide industry-leading objective metrics in software development. We enable large organisations to deliver better software, faster and at lower cost, with technology that pushes the limits of what has been done before.
  • We are a global company which has consistently doubled in headcount and revenue YoY, with no external investment. We currently are located in 4 countries: London (our HQ), Mexico, India and the US. A total number of 100+ employees (and increasing every day) from 22 different nationalities and with over 25 languages spoken.
  • We promote an open minded environment and encourage our employees to create their own success story in this high performance environment.

Qualifications

  • Minimum Bachelor's degree in Computer Science/Statistics/Mathematics or equivalent.
  • Minimum of 3+ years experience in developing solutions with at least 2+ years using NLP with Deep Learning preferred.
  • At least worked in any of these tools: PyTorch (Preferred)/Tensorflow/Keras
  • An in-depth understanding of a wide range of Machine Learning techniques, and an understanding of which approach is best suited for the problem at hand (structured and ill-structured)
  • Strong statistical analytics skills demonstrated through data engineering or similar experience.
  • Understanding of Python programming when building both applications and scripting simple solutions.
  • A drive to not only identify a solution to a technical problem but to see it all the way through to inclusion in a product
  • Strong written and verbal communication skills
  • Experience with fine-tuning neural nets and explaining how the different layers work along with designing loss functions, custom metrics, etc.
  • Understanding of word embeddings like word2vec, glove, Bert, Encoder-Decoder architecture, hugging face library
  • Experience working with managing software vulnerabilities in a coding environment.
  • An understanding of defensive coding practices.
  • Experience with automating tasks to maximize time for more important problems.
  • Experience with PostgreSQL or similar Relational Database.
  • Experience with Data visualization experience (via Grafana, Superset, Tableau, or similar) is preferable.
  • Be comfortable explaining very technical concepts to non-expert people.
  • Experience in project management and designing processes to deliver successful outcomes.
  • Experience with deploying via containers using docker, containerd, Kubernetes

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