Key skills
AzurePythonPyTorchScikit-LearnSQLTensorflowAIMachine LearningNLPGenerative AILarge Language ModelsOpenAILlamaLangChainAgenticTensorFlowscikit-learnLangGraphStatistical AnalysisCommunication
About this role
Role Overview
- This is a full-time remote position for a Generative AI Engineer and Machine Learning specialist.
- You will have the flexibility to work from home anywhere within India, as the job location is based in India.
- Your responsibilities will include researching and developing the EazyML platform utilizing state-of-the-art AI agents.
Requirements
- Proven experience in AI/Generative AI solutions involving prompt engineering, architecture design, consulting, and enterprise architecture.
- Strong background in software development.
- Excellent communication skills, as this is a customer-facing role.
- Comprehensive understanding of Generative AI and machine learning technologies, along with their practical implementations.
- Experience in sectors such as finance, healthcare, or insurance is advantageous.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related discipline.
- Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python programming.
- Strong knowledge and practical experience in designing, developing, and optimizing end-to-end machine learning pipelines.
- Experience with Large Language Models (LLMs) such as GPT, including prompt engineering for reflexive, model-based, and self-learning agents.
- Proficiency in Python for developing wrappers, interfacing with APIs, and creating utilities.
- Familiarity with tools like LangChain and LangGraph.
- Experience in assembling intelligent AI agents to implement a variety of use cases.
- Development of recent use cases involving Agentic AI powered by LLMs, for example, natural language query (NLQ) to SQL translators.
- Strong analytical and problem-solving abilities to effectively design solutions.
- Hands-on experience with technologies such as Large Language Models, Transformers, CNNs, TensorFlow, Scikit-learn, PyTorch, NLP libraries, embedding models, and vector databases.
- Practical exposure to OpenAI, LLaMA/LLaMA 2, other open-source models, and Azure OpenAI models is required. Educational background should include Engineering, Mathematics, and Statistics, preferably in Data Science or Computer Science.
Tech Stack
- Azure
- Python
- PyTorch
- Scikit-Learn
- SQL
- Tensorflow