Job Title: Data Research Engineer – AI/ML
Location: Remote
Experience Required: Minimum 4 years
Role Summary:
We are looking for a Data Research Engineer with strong expertise in Artificial Intelligence (AI), Large Language Models (LLMs), Natural Language Processing (NLP), and deep learning frameworks such as TensorFlow and PyTorch. The ideal candidate will have hands-on experience building or contributing to AI/ML solutions, particularly involving LLM-based architectures such as RAG and tools like LangChain.
This role will involve researching, designing, and deploying intelligent models and solutions in real-world scenarios, while working closely with data scientists and product teams.
Key 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
Required Skills & Experience:
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
Experience deploying or integrating LLMs in real-world use cases is highly preferred
Nice to Have:
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)