Lead Data Scientist - AI & Machine Learning

We Are Hiring!Integrant is looking for game changers to join our team as "Data Scientist - AI & Machine Learning" with below roles and responsibilities:Use mathematics, statistics, machine learning, and artificial intelligence techniques to extract knowledge and insights from structured, semi-structured, and unstructured data. Design, develop, evaluate, and deploy predictive and prescriptive machine learning models. Conduct open research and experimentation to develop innovative solutions for complex client challenges. Engage with clients and stakeholders to understand business needs and translate them into AI and Data Science solutions. Design and implement end-to-end Machine Learning and Generative AI solutions. Build and optimize Retrieval-Augmented Generation (RAG) systems and intelligent agent-based applications. Develop scalable model deployment and monitoring solutions using MLOps best practices. Monitor model performance, detect concept drift, and continuously improve deployed systems. Collaborate with software engineering teams to productionize AI applications and ensure reliability, scalability, and maintainability. Mentor and coach junior Data Scientists and Machine Learning Engineers. Lead technical discussions, knowledge transfer sessions, and client-facing AI engagements. Stay current with emerging AI, Machine Learning, MLOps, and Generative AI technologies and frameworksRequirementsEducation & Experience10+ years of professional experience, including 7+ years in Data Science, Machine Learning & MLOpsMSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative disciplinePhD is preferred, in related field. Experience mentoring, coaching, or leading technical team membersData Science & Machine LearningStrong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model EvaluationExperience with Deep Learning concepts and frameworksExtensive hands-on experience with Python and the Data Science ecosystemExperience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorchExperience conducting research, experimentation, and hypothesis-driven analysisMLOps & Production AIExperience deploying and managing Machine Learning models in production environmentsExperience monitoring model performance, detecting concept drift, and driving continuous improvementsHands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observabilityExperience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or DatabricksExperience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AIFamiliarity with deployment and serving tools such as MLflow, FastAPI, and StreamlitGenerative AI & Agentic AIHands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applicationsExperience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI SearchExperience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologiesExperience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalentExperience implementing MCP (Model Context Protocol), tool calling, and function-calling workflowsStrong understanding of prompt engineering techniques and LLM optimizationExperience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar toolsExperience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniquesNice to Have:Advanced AI & Data ScienceReinforcement Learning (RL)Optimization techniques, including single-objective and multi-objective optimizationStochastic Local Search methodsKnowledge Graphs and Graph Machine LearningCloud & Data EngineeringExperience building large-scale data pipelines on Azure, AWS, or GCPExperience with Databricks and Apache SparkExperience with distributed data processing architecturesLeadership & ConsultingExperience leading AI initiatives and technical strategyExperience working directly with international clients and stakeholdersExperience defining AI architecture, standards, and best practices across teamsBenefitsSalary paid in USDSix-month career advancing opportunitiesEmployee parking spaceSupportive and friendly work environmentPremium medical insurance [employee +family]English language development coursesInterest-free loans paid over 2.5 yearsTechnical development coursesPlanned overtime program (POP)Employment referral programPremium location in Maadi & Nasr CitySocial insuranceOpportunity to travel and work onsite with U.S. customersIn-house Technical and English training programsDedicated learning time (check out our 4Plus1 Program)Flexible work schedulesPerks: events, sponsored lunch, game area, rooftop hangout + more!