Weekday (YC W21)Remote
Senior GENAI Engineer
India
Full Time
1 month ago
$1,000,000 - $3,000,000 INR
No Sponsorship
Key skills
AzurePythonPyTorchScikit-LearnSQLTensorflowAIMachine LearningDeep 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
- Demonstrated expertise in AI and Generative AI solutions, including prompt engineering, architectural design, consulting, and enterprise architecture.
- Solid experience in software development.
- Strong communication skills, as this position involves customer interaction.
- In-depth knowledge of Generative AI and machine learning technologies, together with their practical applications.
- Experience in industries such as finance, healthcare, or insurance is a plus.
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Proven skills in statistical analysis and machine learning theories, with proficiency in Python programming.
- Extensive experience in designing, developing, and optimizing complete machine learning pipelines.
Applicants should have a minimum of 4 years of experience in Generative AI and at least 4 years in traditional machine learning, with a focus on creating, training, and deploying systems such as recommendation engines, deep learning models, and generative AI applications.
- Experience working with Large Language Models (LLMs) like GPT, including prompt engineering for reflexive, model-based, and self-learning agents.
- Proficiency in Python for building wrappers, interacting with APIs, and developing utilities.
- Familiarity with frameworks such as LangChain and LangGraph.
- Experience assembling intelligent AI agents to address diverse use cases.
- Development of recent applications involving Agentic AI powered by LLMs, such as natural language query (NLQ) to SQL translation tools.
- Strong analytical and problem-solving skills for effective solution design.
Hands-on experience with technologies including Large Language Models, Transformers, CNNs, TensorFlow, Scikit-learn, PyTorch, NLP libraries, embedding models, and vector databases is expected.
Practical familiarity with OpenAI, LLaMA/LLaMA 2, other open-source models, and Azure OpenAI models is required. Educational background should encompass Engineering, Mathematics, and Statistics, preferably focused on Data Science or Computer Science.
Tech Stack
- Azure
- Python
- PyTorch
- Scikit-Learn
- SQL
- Tensorflow