AI Research Engineer - NLP & Generative AI
ApplyAbout the Role
We are seeking a highly motivated AI Research Engineer with a strong background in Natural Language Processing (NLP) and Generative AI to join our growing team. The ideal candidate will be passionate about advancing open-source LLMs, embedding techniques, and vector databases, and will have hands-on experience building classification models. Experience in the customer support industry and knowledge of MLOps/LLMOps practices will be a strong plus.
Benefits
- Hybrid setup
- Worker's insurance
- Paid Time Offs
- Other employee benefits to be discussed by our Talent Acquisition team in India
Closing:
Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status.
Privacy Notice
By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice.
Experience & Requirements
Required Skills and Qualifications
- Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).
- 4+ years of experience
- Solid understanding of NLP algorithms, transformer architectures, and language model training/fine-tuning.
- Experience with open-source LLMs (e.g., LLaMA, Mistral, Falcon, etc.).
- Expertise in embedding techniques (e.g., OpenAI, HuggingFace, SentenceTransformers) and their applications in semantic search and RAG.
- Experience with vector databases such as Weaviate, Pinecone, FAISS, or Milvus.
- Hands-on experience building NLP classification models.
- Familiarity with MLOps tools (e.g., MLflow, DVC, Kubeflow) and LLMOps platforms for managing LLM pipelines.
- Excellent problem-solving skills, ability to work in a fast-paced environment.
Preferred Qualifications
- Prior experience in the customer support or conversational AI industry.
- Knowledge of deploying AI applications in cloud environments (AWS, GCP, Azure).
- Contributions to open-source projects in the NLP/LLM space.
- Experience with prompt engineering and fine-tuning for specific downstream tasks.
