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4 Days ago

Senior Machine Learning Engineer

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Hyderabad, Telangana, India
Information Technology
Full-Time
SourcingXPress

Overview

Company: NxtHyre

Website: Visit Website

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Series B

Industry: Artificial Intelligence

Salary Range: ₹ 35-55 Lacs PA

Job Description:

This is Permanent role with a Valued client of NxtHyre in Fintech.

About Client:

Founded in 2019, we recently raised our Series B fundraise, led by Innovius Capital along with participation from Dell Technologies Capital, Sentinel Global, and existing investors including Venrock, NeoTribe Ventures, Engineering Capital, Workday Ventures, and KPMG Ventures.

Job Description:

Looking for strong candidates with a passion for participating in our mission. Areas of responsibilities (subject to change over time)

Responsibilities:

  • Developing and managing data pipelines for ML and analytics
  • Effectively analyze and resolve engineering issues as they arise
  • Implementing ML algorithms to classify textual categorization and information extraction
  • Writing containerized microservices for serving the model in a production environment
  • Writing unit tests alongside development

Must-haves

  • Python programming expertise: data structures, OOP, recursions, generators, iterators, decorators, familiarity with regular expressions
  • Working knowledge and experience with deep learning framework Pytorch or Tensorflow. Embedding representations
  • Familiarity with SQL database interactions
  • Familiarity with Elasticsearch document indexing, querying
  • Familiarity with Docker, Dockerfile
  • Familiarity with REST API, JSON structure. Python packages like FastAPI
  • Familiarity with git operations
  • Familiarity with shell scripting
  • Familiarity with PyCharm for development, debugging, profiling
  • Experience with Kubernetes

Desired

  • NLP toolkits like NLTK, spaCy, Gensim, scikit-learn. Familiarity with basic natural language concepts, handling, Tokenization, lemmatization, stemming, edit distances, named entity recognition, syntactic parsing, etc
  • Good knowledge and experience with deep learning framework Pytorch or Tensorflow
  • More complex operations with Elasticsearch. Creating indices, indexable fields, etc
  • Good experience with Kubernetes
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