Data Research Engineer - AI/ML

Summary

Join our team as a Data Research Engineer and contribute to cutting-edge AI/ML solutions. You will build, fine-tune, and optimize LLM-based and NLP solutions for various real-world applications. Research and implement state-of-the-art RAG pipelines, and work with tools like LangChain, HuggingFace, TensorFlow, and PyTorch. Design scalable pipelines for training, evaluating, and deploying machine learning models. Collaborate with data engineers and software developers to integrate AI solutions into production systems. Write clean, efficient, and well-documented code in Python and SQL. Stay up-to-date with the latest research in AI, ML, and NLP.

Requirements

• 4+ years of hands-on experience in Python programming for data and ML projects
• Strong experience in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Proficient in SQL for data extraction, transformation, and analysis
• Practical knowledge of LLMs, NLP, and transformer-based models
• Exposure to RAG pipelines, LangChain, or similar LLM orchestration tools

Responsibilities

• Build, fine-tune, and optimize LLM-based and NLP solutions for various real-world use cases
• Research and implement state-of-the-art retrieval-augmented generation (RAG) pipelines and applications
• Work with tools such as LangChain, HuggingFace, TensorFlow, and PyTorch
• Design scalable pipelines to train, evaluate, and deploy machine learning models
• Collaborate with data engineers and software developers to integrate AI solutions into production systems
• Write clean, efficient, and well-documented Python and SQL code
• Stay current with emerging research in AI, ML, and NLP and translate academic findings into applied use

Preferred Qualifications

• Contributions to open-source AI/ML projects
• Understanding of cloud platforms (GCP, AWS, Azure) for ML deployment
• Familiarity with data labeling tools, MLOps workflows, or API deployment (e.g., FastAPI)