Data Scientist

AIData Scientist – Python | PySpark | ETL | Machine Learning | Predictive Analytics | LLM | RAG | MCP | Cloud Employment Type: Full-Time Experience: IT Exp 10+ Years Python Experience: Min10+ Years PySpark Experience: Min5+ Years AI / Data ScienceExperience: Min 3+ Years About the Role Cloudoplus is seeking a highly skilled AI Data Scientist with strong expertise in Python, PySpark, ETL, Machine Learning, Predictive Analytics, Generative AI, LLMs, RAG, MCP, and Cloud Technologies to support enterprise-scale U.S.-based client projects. The ideal candidate will have extensive experience building data-driven solutions, developing advanced machine learning models, designing AI-powered applications, and delivering business insights throughpredictive analytics and intelligent automation. If you are passionate about solving complex business problems using AI, Machine Learning, and Data Science technologies, we'd love to hear from you. Key Responsibilities Design, develop, and maintainscalable ETL pipelines usingPython, PySpark, and modern data engineering frameworks. Process and transform large-scale structured and unstructured datasets for enterprise analytics and AI applications. Build, train, validate, and deploy Machine Learning models for predictive analytics, forecasting, recommendation systems,classification, and clustering. Develop advanced PredictiveAnalytics solutions tosupport strategic business decision-making. Design and implement Generative AI applications using Large Language Models (LLMs). Build and optimizeRetrieval-Augmented Generation (RAG) architectures for enterprise knowledge management and intelligent search solutions. Develop AI solutions using Model Context Protocol (MCP) to integrate AI models with enterprise systems,tools, APIs, and external data sources. Train, evaluate, and optimizevarious Machine Learning algorithms to improve accuracy, performance, and scalability. Work with foundation modelsincluding OpenAI, Claude, Gemini, Llama, and Hugging Face models. Perform feature engineering, model tuning, model evaluation, and production deployment. Develop end-to-end AI/ML pipelines from data ingestionthrough model deployment and monitoring. Collaborate with business stakeholders, architects, product teams,and client teams to deliver enterprise AI and analytics solutions. Present analytical findings, insights,and recommendations to technical and non-technical stakeholders. Ensure AI solutions meet performance, scalability, security, and governance requirements. Support enterprise data modernization, AI transformation, and cloud migration initiatives. Technologies Python • PySpark • ETL • Spark SQL • Databricks • Machine Learning • ML Algorithms • Predictive Analytics • Statistical Modeling • Data Science• Generative AI • LLM • NLP • RAG • MCP OpenAI • Claude • Gemini • Llama • Hugging Face • LangChain • LlamaIndex • TensorFlow • PyTorch • Scikit-Learn • XGBoost • SQL PostgreSQL • MongoDB • Hadoop • Spark • AWS • Azure • Google Cloud Platform (GCP) • Docker • Kubernetes • Git • CI/CD

Design and maintain scalable ETL pipelines and deploy machine learning models for predictive analytics and forecasting. Develop Generative AI applications using LLMs and RAG architectures to integrate AI models with enterprise systems.

Requires over 10 years of experience in IT and Python, with at least 5 years in PySpark and 3 years in AI/Data Science. Expertise in cloud platforms and various AI frameworks like LangChain and Hugging Face is essential.

• SQLSouhaitée
• Apprentissage automatiqueSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• PySpark
• ETL
• Machine Learning
• Predictive Analytics
• Generative AI
• LLM
• RAG
• MCP
• Cloud Technologies
• NLP
• Databricks
• TensorFlow
• PyTorch
• Scikit-Learn
• SQL

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Expérience minimale

10+ ans

Postuler avant le

3 mars 2027

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte