AWSAzureCloudNumpyPandasPythonScikit-LearnAIMachine LearningMLNLPGenerative AILarge Language ModelsLlamaRAGscikit-learnNumPyJupyterDatabricksGitHubJira
About this role
Role Overview
Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability.
Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph.
Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation
Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications.
Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency.
Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities.
Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success.
Requirements
2+ years of experience as a NLP and Python developer.
Experience with Pandas, NumPy, Scikit, NLP a must have
Key fundamentals in object-oriented design, data structures and systems.
Ability to integrate multiple data sources into a single system.
Familiarity with testing tools.
Ability to collaborate on projects and work independently when required.
Working knowledge of GitHub and Jira
Ability to document requirements and specifications.
Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
2+ years of experience in data science, building hands-on ML models.
Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning
Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation
Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc