Artificial Intelligence Engineer

2 days ago

Hyderabad, Telangana, India Nabeh Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Overview

We are seeking a
talented and motivated AI Engineer
with expertise in
Large Language Models (LLMs)
,
Natural Language Processing (NLP)
, and
Speech-to-Text
technologies.

As part of our dynamic team, you will design, develop, and deploy next-generation AI solutions that enhance our products and services through intelligent automation, language understanding, and seamless communication systems.

Key Responsibilities

LLM Development & Integration

  • Fine-tune and deploy
    Large Language Models
    for chatbots, content generation, and virtual assistants.
  • Evaluate and optimize model performance in real-world use cases.
  • Integrate LLMs into production environments ensuring scalability and reliability.

NLP System Design

  • Design and implement
    NLP algorithms
    for text classification, sentiment analysis, entity recognition, and summarization.
  • Handle large text datasets for model training and validation.
  • Collaborate with cross-functional teams to address language-related challenges.

Speech-to-Text Implementation

  • Develop and optimize
    speech-to-text (ASR)
    pipelines for multiple languages and dialects.
  • Integrate speech recognition systems with NLP and LLM modules for end-to-end conversational experiences.
  • Stay updated with advancements in
    Automatic Speech Recognition (ASR)
    technologies.

Performance Optimization

  • Improve AI model efficiency for real-time performance and scalability.
  • Identify and mitigate biases to ensure model accuracy, fairness, and robustness.

Research & Innovation

  • Stay current with cutting-edge research in
    LLMs, NLP, and Speech AI
    .
  • Experiment with new architectures and techniques to drive innovation.

Documentation & Collaboration

  • Maintain detailed documentation of models, datasets, and workflows.
  • Collaborate with
    product managers, software engineers,
    and other stakeholders to deliver production-grade AI solutions.

Qualifications

  • Bachelor's or Master's degree
    in Computer Science, Artificial Intelligence, Data Science, or related fields.
  • Proven experience in
    LLM development
    (e.g., OpenAI GPT, Claude, or similar frameworks).
  • Strong knowledge of
    NLP libraries
    (e.g., Hugging Face, spaCy, NLTK).
  • Hands-on experience with
    speech-to-text tools
    (e.g., Whisper, Google Speech API, DeepSpeech).
  • Proficiency in
    Python
    and frameworks like
    TensorFlow
    or
    PyTorch
    .
  • Excellent analytical, problem-solving, and communication skills.

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