Job Description

What you’ll do:

• Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and service to support our associates using ML and NLP
• Be able to transform unstructured raw data in to formats suitable for modeling
• Demonstrate a deep knowledge of and ability to operationalize, leading data technologies and best practices
• Maintain project plans, clean code, and well-written documentation
• Be able to work in teams and collaborate with stakeholders to define requirements
• Be able to work in a globally distributed team in an Agile/Scrum approach

What you’ll need:

• 6-9 years of experience of algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing.

Must have:

• Experience of Machine learning models and NLP techniques like BERT, Transformers, Deep learning and Fine tuning Large Language Models
•  Experience working with RAG technologies and LLM frameworks (Langchain and LLamaIndex), LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS , Milvus etc.) 
• Advanced knowledge of Python open-source software stack such as SQLAlchemy, Django or Flask, Django Rest or FastAPI, etc.
•  Knowledge of Python libraries like Pandas, Scikit-Learn, Numpy, NLTK, Spacy and Scipy is required
• Experience with machine learning libraries and services like TensorFlow, PyTorch, or Amazon SageMaker.
• Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostGres), etc.
•  Good problem-solving skills and excellent verbal and written communication skills