GoDigit - Junior AI Engineer - GenAI & Automation
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Job Description
About the Role :We are hiring Junior AI Engineer (Freshers & Early Career Professionals) to build real-world AI solutions across Digit.This is a hands-on builder role, where you will design, develop, and deploy AI systems using GenAI, LLMs, and automation to solve business problems across claims, underwriting, fraud detection, and customer experience.If you enjoy coding, building, and experimenting with AI, this role is for you.Who Can Apply :- M.Tech (CS/IT) - Mandatory- Freshers (0 yrs) OR 1-2 years of experience in AI/ML- Strong interest in AI, machine learning, and automationKey Responsibilities :Build AI Solutions :- Develop AI/ML models and GenAI applications using LLMs- Build RAG pipelines, NLP models, and automation workflows- Work on real-world use cases across insurance & operationsCoding & Development (Core Focus) :- Write clean, scalable code using Python and ML frameworks- Work with HuggingFace, PyTorch, LangChain, APIs, and SQL- Design and implement end-to-end AI workflowsExperiment & Learn :- Work on prompt engineering, fine-tuning, and model optimisation- Explore techniques like LoRA / QLoRA, embeddings, vector DBs- Continuously experiment with new AI approaches and toolsDeployment & Integration :- Assist in deploying models using basic MLOps practices- Integrate AI solutions with internal systems via APIs and data pipelinesDrive Business Impact :- Understand business problems and convert them into AI use cases- Deliver measurable impact like: Process automation, TAT reduction, Efficiency improvementCollaboration :- Work closely with senior engineers, product, and business teams- Present solutions and demos to stakeholders in a simple manner
Skills
PythonSQLMachine LearningNLPPyTorchLangChainPrompt EngineeringRAGMLOpsTeamsIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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