Senior Machine Learning Engineer

0 years

35 - 55 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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

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.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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