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Hiring Now | Data Science & AI Engineer | MNC Opportunity
We are hiring Data Science & AI Engineers for a leading MNC!
Location: PAN India (Tier-1 Locations Preferred)
Experience: 1+ Year
Notice Period: Immediate Joiners or Candidates with up to 30 Days Notice Period
Data Science
Artificial Intelligence (AI)
Generative AI (GenAI)
Large Language Models (LLMs)
RAG (Retrieval-Augmented Generation)
Python
Machine Learning
We are looking for passionate candidates with hands-on experience in AI/ML, Generative AI, LLMs, RAG, and Python who are eager to build innovative, real-world AI solutions.
Interested candidates who match the above requirements can share your updated CV [Confidential Information]
Immediate opportunities available — Early applicants will be prioritized!
#Hiring #DataScience #AI #ArtificialIntelligence #GenerativeAI #GenAI #LLM #RAG #MachineLearning #Python #PowerBI #ImmediateJoiners #MNCJobs #HiringNow
Job ID: 153683305
Skills:
retrieval-augmented generation (RAG) pipelines, Customer Journey Analytics (CJA), Adobe Analytics, Sql, Numpy, Pandas, Databricks, Clustering, Python, experimentation design, statistical significance, statistical forecasting models, Powerpoint, a/b testing, cloud-based data lakehouse platforms, Regression, chatbots, prompt-engineered tools, AI agents, LLM-based applications
Skills:
Sparql, Deep Learning, Tensorflow, Pytorch, Rdf, Python, AWS, Machine Learning, Google Cloud Platform, Sql, Databricks, Azure, scikit-learn, SHACL, enterprise ontologies, SAP Business Accelerator Hub, SAP Graph API, Cypher, Statistical Modeling, SKOS, SAP HANA Cloud, SAP Datasphere, GQL, owl, LLMs, generative AI, rdfs
Skills:
Nlp, MLops, Deep Learning, ML AI pipelines, GenAI, LLM inference architectures, RAG systems, Agentic AI solutions, time series forecasting
Skills:
Machine Learning, Artificial Intelligence, Python, Deep Learning, Cloud Platforms, Operations Research, Statistics, semantic analysis
Skills:
Git, Power Bi, Data Structures And Algorithms, Databricks, Azure Cloud Services, Python, Sql, Feature Engineering, experimentation
