The company is looking to solve complex problems and enhance products and services by designing, developing, and deploying machine learning models and algorithms.
Requirements
- Strong experience in deep learning and NLP, especially LLMs and generative models.
- Proficiency in Python and ML libraries such as Hugging Face Transformers, LangChain, and OpenAI APIs.
- Experience with prompt engineering, few-shot learning, and fine-tuning LLMs.
- Familiarity with ML Ops/LLMOps and distributed systems.
- Experience working with vector databases and RAG pipelines.
- Solid understanding of system design patterns, scalability, observability, and performance tuning.
- Strong analytical and problem-solving skills.
Responsibilities
- Work with data scientists/data engineers to translate prototypes and theoretical models into functional, production ready code.
- Collaborate with product, engineering, and research teams to integrate AI/ML into applications and services.
- Research, evaluate, and implement the latest advancements in AI/ML and large language models (LLMs).
- Work on productionalize the AL/ML model in Hadoop environment.
- Work with vector databases (e.g., FAISS, PGVector, Pinecone) for retrieval-augmented generation (RAG) and semantic search use cases.
- Design scalable, observable, and resilient AI ML models for real-world applications.
- Monitor model performance and continuously improve efficiency, accuracy, and user experience.
Other
- Passion for exploring and building with emerging AI technologies.
- Strong analytical and problem-solving skills.
- Collaborate with product, engineering, and research teams to integrate AI/ML into applications and services.
