Software Engineer

1 - 4 years

6 - 12 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We re looking for an Entry-Level AI/ML Engineer to join our growing team. This is a unique opportunity to apply your machine learning skills to real-world problems in content discovery, personalization, and author support.

Responsibilities
As an AI/ML Engineer at Thoxt, you will:
  • Improving content recommendation systems

    for article discovery using embeddings (e g, MiniLM), clustering and user interaction data.
  • Running A/B tests on recommendation scoring and evaluating reader engagement.
  • Work on NLP-powered author tools

    , such as readability scoring, genre classification, sentiment/bias detection, and headline/CTA analysis.
  • Support search and autocomplete features

    , including hashtag and keyword suggestion models.
  • Contribute to spam and AI-generated content detection models

    to flag low-quality posts, NSFW content and spam.
  • Experiment with clustering and topic modeling

    to surface trending themes and organize content.
  • Collaborate with backend and product teams

    to deploy ML features into production.
  • Participate in data collection, cleaning, and preprocessing pipelines.

  • Stay updated with the latest open-source ML/NLP research and tools.

  • Requirements
  • Bachelors degree in Computer Science, Data Science, AI/ML, or related field, or CS50 AI with equivalent practical experience.
  • Strong foundation in Python, foundational AI concepts, and ML libraries (PyTorch, TensorFlow, scikit-learn).
  • Familiarity with NLP frameworks (Hugging Face Transformers, spaCy, NLTK).
  • Understanding of embeddings, e g BERT, MiniLM, clustering, and basic recommendation system techniques.
  • Basic knowledge of web technologies and APIs for model integration.
  • Eagerness to learn, experiment, and iterate quickly in a startup environment.
  • Bonus Skills
  • Experience with vector databases (e g, FAISS, Weaviate, Pinecone).
  • Knowledge of Django or Flask for backend integration.
  • Prior projects in recommender systems, sentiment analysis, or text classification.
  • Familiarity with real-time systems (e g, WebSockets, streaming pipelines).

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