Research Engineer - NLP / Machine Learning
PylonBangalore30+ days ago
Job description5- 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. 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.
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 :
Nice to Have :
(ref : hirist.tech)
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Research Engineer • Bangalore