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Data Scientists - Generative AI Specialist

Fresher   All India, Noida   17 Jun, 2026
Job LocationAll India, Noida
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    As a Data Scientist specializing in Generative AI, your role will involve utilizing your 3 years of experience in Data Science to work on generative AI, agentic AI, LLMs, and NLP. You will be responsible for demonstrating hands-on expertise with RAG pipelines, knowledge graphs, and prompt engineering. Additionally, you will apply your skills in Azure AI tools such as Azure OpenAI, Cognitive Services, and Azure ML. Leveraging your experience with LangChain, Agentic AI frameworks, and orchestration tools will be a key part of your responsibilities. Proficiency in utilizing Hugging Face for model building and fine-tuning is essential, along with demonstrating strong Python development skills tailored for AI applications. Furthermore, you will work with vector databases, embeddings, and semantic search implementations. Your solid MLOps background including CI/CD pipelines, DevOps integration, and AI deployment optimization will be put to use. Familiarity with FastAPI, Databricks, AWS, MLflow, Faiss, Redis, and OpenAI APIs is required. As a great problem-solver who enjoys debugging and improving AI systems, you will thrive in this role.Qualifications required for this role include:- Bachelors or Masters degree in Computer Science, Data Science, or a related field.- 4 to 5 years of relevant experience in Data Science with a focus on generative AI and NLP.- Proven track record of working with AI tools and frameworks mentioned in the job description.If you are passionate about Data Science and Generative AI, and enjoy working on cutting-edge technologies, this role is perfect for you. Apply now by sending your resume to hidden_email or call hidden_mobile.Please note that this is a full-time, permanent position with benefits including cell phone reimbursement, health insurance, paid sick time, paid time off, and Provident Fund. The work location is in person at Noida. As a Data Scientist specializing in Generative AI, your role will involve utilizing your 3 years of experience in Data Science to work on generative AI, agentic AI, LLMs, and NLP. You will be responsible for demonstrating hands-on expertise with RAG pipelines, knowledge graphs, and prompt engineering. Additionally, you will apply your skills in Azure AI tools such as Azure OpenAI, Cognitive Services, and Azure ML. Leveraging your experience with LangChain, Agentic AI frameworks, and orchestration tools will be a key part of your responsibilities. Proficiency in utilizing Hugging Face for model building and fine-tuning is essential, along with demonstrating strong Python development skills tailored for AI applications. Furthermore, you will work with vector databases, embeddings, and semantic search implementations. Your solid MLOps background including CI/CD pipelines, DevOps integration, and AI deployment optimization will be put to use. Familiarity with FastAPI, Databricks, AWS, MLflow, Faiss, Redis, and OpenAI APIs is required. As a great problem-solver who enjoys debugging and improving AI systems, you will thrive in this role.Qualifications required for this role include:- Bachelors or Masters degree in Computer Science, Data Science, or a related field.- 4 to 5 years of relevant experience in Data Science with a focus on generative AI and NLP.- Proven track record of working with AI tools and frameworks mentioned in the job description.If you are passionate about Data Science and Generative AI, and enjoy working on cutting-edge technologies, this role is perfect for you. Apply now by sending your resume to hidden_email or call hidden_mobile.Please note that this is a full-time, permanent position with benefits including cell phone reimbursement, health insurance, paid sick time, paid time off, and Provident Fund. The work location is in person at Noida.

Keyskills :
Data ScienceNLPAWSRedisDebuggingGenerative AIAgentic AILLMsRAG pipelinesKnowledge graphsPrompt engineeringAzure AI toolsAzure OpenAICognitive ServicesAzure MLLangChainAgentic AI frameworksOrchestration toolsHugging FacePython developmen

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