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Research Engineer - NLP / Machine Learning

Research Engineer - NLP / Machine Learning

PylonBangalore
30+ days ago
Job description

Job Description :

Key Responsibilities :

  • Design and implement ML / NLP-driven solutions, focusing on LLMs, ASR / STT, and modern AI frameworks.
  • Develop, optimize, and maintain production-grade ML workflows and pipelines.
  • Work with APIs, system design, and integrations for scalable ML solutions.
  • Experiment with LLM prompt engineering, chaining, fine-tuning, and RAG pipelines.
  • Collaborate with data scientists and engineers to build and deploy ML models.
  • Leverage tools such as Transformers, Hugging Face, LangChain, and OpenAI APIs for model development.
  • Deploy and monitor ML systems on cloud platforms (AWS / GCP).
  • Maintain code quality and version control using Git, Docker, and best practices.
  • Troubleshoot, profile, and optimize performance / latency of ML inference systems.

Requirements :

  • 5- 6 years of hands-on software engineering experience, ideally in ML / NLP-heavy roles.
  • Strong proficiency in Python with expertise in libraries like NumPy, Pandas, etc.
  • Practical experience with LLMs (GPT, Llama, Mistral), prompt engineering, chaining, or fine-tuning.
  • Exposure to ASR / STT technologies (Whisper, DeepSpeech, Kaldi).
  • Strong understanding of system design, API integrations, and ML workflows in production.
  • Experience with Transformers, Hugging Face, LangChain, OpenAI APIs.
  • Knowledge of AWS / GCP and model deployment basics.
  • Familiarity with Git, Docker, and collaborative version control workflows.
  • Bonus : Background in competitive programming or strong DSA skills.
  • Nice to Have :

  • Experience with speech / audio data pipelines or ASR model fine-tuning.
  • Knowledge of RAG pipelines, embeddings, and vector databases.
  • Skills in performance profiling, latency debugging, and scaling inference systems.
  • (ref : hirist.tech)

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    Research Engineer • Bangalore