Artificial Intelligence Engineer

3 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

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About Us

AI Engineer

Role Overview

AI Engineer

Key Responsibilities

  • Design, develop, and deploy machine learning/AI models for production use.
  • Work with structured and unstructured data (text, images, audio, etc.).
  • Implement NLP, computer vision, or recommendation systems based on business needs.
  • Optimize models for scalability, performance, and low latency.
  • Build pipelines for data preprocessing, feature engineering, and model training.
  • Deploy models using TensorFlow Serving, TorchServe, or cloud AI services.
  • Collaborate with global teams in a

    remote-first environment

    using Agile tools.
  • Stay updated with the latest AI/ML research, frameworks, and best practices.

Required Skills & Qualifications

  • Bachelor’s/Master’s in Computer Science, AI/ML, Data Science, or related field.
  • 1–3 years

    of experience in AI/ML engineering or related roles.
  • Strong proficiency in

    Python

    and ML libraries (TensorFlow, PyTorch, scikit-learn).
  • Experience with

    deep learning architectures

    (CNNs, RNNs, Transformers).
  • Hands-on experience in

    NLP, computer vision, or recommendation systems

    .
  • Familiarity with

    SQL/NoSQL databases

    .
  • Experience with

    cloud platforms (AWS, GCP, Azure)

    and ML Ops practices.
  • Strong problem-solving and communication skills (remote collaboration ready).

Good to Have

  • Exposure to

    Generative AI / LLMs

    (OpenAI, Hugging Face, LangChain).
  • Knowledge of

    MLOps pipelines

    and deployment (Docker, Kubernetes, CI/CD).
  • Familiarity with

    big data frameworks

    (Spark, Hadoop).
  • Experience in

    API development

    for serving AI models.

What We Offer

  • Competitive compensation:

    ₹12–18 LPA

    .
  • 100%

    Remote-first work model

    – flexible hours and global collaboration.
  • Exciting projects at the intersection of AI and real-world applications.
  • Learning & growth with mentorship from senior AI/ML experts.
  • Supportive and innovative work culture with access to cutting-edge tools


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