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 frameworks.RequirementsEducation & Experience7+ years of professional experience, including 5+ years in Data Science, Machine Learning & MLOpsMSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.Experience mentoring, coaching, or leading technical team members.Data Science & Machine LearningStrong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.Experience with Deep Learning concepts and frameworks.Extensive hands-on experience with Python and the Data Science ecosystem.Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.Experience conducting research, experimentation, and hypothesis-driven analysis.MLOps & Production AIExperience deploying and managing Machine Learning models in production environments.Experience monitoring model performance, detecting concept drift, and driving continuous improvements.Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.Generative AI & Agentic AIHands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.Strong understanding of prompt engineering techniques and LLM optimization.Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.Cloud & Data EngineeringExperience building large-scale data pipelines on Azure, AWS, or GCP.Experience with Databricks and Apache Spark.Experience with distributed data processing architectures.Nice to Have:Advanced AI & Data ScienceReinforcement Learning (RL)Optimization techniques, including single-objective and multi-objective optimizationStochastic Local Search methodsKnowledge Graphs and Graph Machine Learning.Leadership & ConsultingExperience leading AI initiatives and technical strategy.Experience working directly with international clients and stakeholders.Experience defining AI architecture, standards, and best practices across teams.BenefitsSalary 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 coursesEmployment referral programPremium location in Maadi & Nasr CitySocial insuranceOpportunity to travel and work onsite with U.S. customersIn-house Technical and English training programsFlexible work schedulesPerks: events, sponsored lunch, game area, rooftop hangout + more!
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 frameworks.
Requirements
Education & Experience
- 7+ years of professional experience, including 5+ years in Data Science, Machine Learning & MLOps
- MSc in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative discipline.
- Experience mentoring, coaching, or leading technical team members.
Data Science & Machine Learning
- Strong foundation in Machine Learning techniques including Classification, Regression, Clustering, Association Rule Mining, Feature Engineering, and Model Evaluation.
- Experience with Deep Learning concepts and frameworks.
- Extensive hands-on experience with Python and the Data Science ecosystem.
- Experience with one or more ML frameworks such as Scikit-Learn, TensorFlow, Keras, or PyTorch.
- Experience conducting research, experimentation, and hypothesis-driven analysis.
MLOps & Production AI
- Experience deploying and managing Machine Learning models in production environments.
- Experience monitoring model performance, detecting concept drift, and driving continuous improvements.
- Hands-on experience with MLOps practices, CI/CD pipelines, model versioning, experiment tracking, monitoring, and observability.
- Experience deploying AI/ML solutions on cloud platforms such as Azure, AWS, GCP, or Databricks.
- Experience with ML platforms and services including Azure ML, AWS SageMaker, or Google Vertex AI.
- Familiarity with deployment and serving tools such as MLflow, FastAPI, and Streamlit.
Generative AI & Agentic AI
- Hands-on experience building Retrieval-Augmented Generation (RAG) solutions and semantic search applications.
- Experience working with Vector Databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search.
- Experience using LLM orchestration frameworks such as LangChain, LangGraph, or similar technologies.
- Experience working with Agentic AI frameworks such as LlamaIndex, CrewAI, AutoGen, or equivalent.
- Experience implementing MCP (Model Context Protocol), tool calling, and function-calling workflows.
- Strong understanding of prompt engineering techniques and LLM optimization.
- Experience evaluating LLM applications using frameworks such as LangSmith, RAGAS, or similar tools.
- Experience with Embeddings, Vector Retrieval, Semantic Search, Fine-Tuning, and LoRA techniques.
Cloud & Data Engineering
- Experience building large-scale data pipelines on Azure, AWS, or GCP.
- Experience with Databricks and Apache Spark.
- Experience with distributed data processing architectures.
Nice to Have:
Advanced AI & Data Science
- Reinforcement Learning (RL)
- Optimization techniques, including single-objective and multi-objective optimization
- Stochastic Local Search methods
- Knowledge Graphs and Graph Machine Learning.
Leadership & Consulting
- Experience leading AI initiatives and technical strategy.
- Experience working directly with international clients and stakeholders.
- Experience defining AI architecture, standards, and best practices across teams.
Benefits
- Salary paid in USD
- Six-month career advancing opportunities
- Employee parking space
- Supportive and friendly work environment
- Premium medical insurance [employee +family]
- English language development courses
- Interest-free loans paid over 2.5 years
- Technical development courses
- Employment referral program
- Premium location in Maadi & Nasr City
- Social insurance
- Opportunity to travel and work onsite with U.S. customers
- In-house Technical and English training programs
- Flexible work schedules
- Perks: events, sponsored lunch, game area, rooftop hangout + more!
Integrant, Inc. is a custom software development company focused on providing tailor made software solutions to fit your needs to a tee. We strive to uncover your pain points and identify how our team can seamlessly integrate with you and your business for a one-team approach. Our guiding principle is to always do the right thing for our customers and employees. Some days this means happy news of a “hit on the mark” demo, successful launch, or challenging problem solved.Other days this means making hard decisions, asking tough questions, or working more than we planned. Every day, it means doing our best to provide the highest quality service to each of our customers. We do that by investing our people in you and inspiring a people-to-people connection so when we say, “we share your goals,” we truly mean it. Contact us today to find out how we’re changing B2B. Website:https://www.integrant.comPhone number: +18587318700 Industry: Computer Software Company size: 51-200 employees Founded: 1992 Specialties:Software development, .NET, JavaScript, Java, iOS, Android, Xamarin, Selenium, Software Test Automation, Test Automation Framework, Agile Development, React Native, Ionic, Hybrid Mobile App Development, Mobile App Development, Web App Development, Desktop App Development, Software Quality Control, Custom Software Development, ReactJS, and AngularJS
Integrant, Inc. is a custom software development company focused on providing tailor made software solutions to fit your needs to a tee. We strive to uncover your pain points and identify how our team can seamlessly integrate with you and your business for a one-team approach.
Our guiding principle is to always do the right thing for our customers and employees.
Some days this means happy news of a “hit on the mark” demo, successful launch, or challenging problem solved.
Other days this means making hard decisions, asking tough questions, or working more than we planned.
Every day, it means doing our best to provide the highest quality service to each of our customers. We do that by investing our people in you and inspiring a people-to-people connection so when we say, “we share your goals,” we truly mean it.
Contact us today to find out how we’re changing B2B.
Website:https://www.integrant.com
Phone number: +18587318700
Industry: Computer Software
Company size: 51-200 employees
Founded: 1992
Specialties:
Software development, .NET, JavaScript, Java, iOS, Android, Xamarin, Selenium, Software Test Automation, Test Automation Framework, Agile Development, React Native, Ionic, Hybrid Mobile App Development, Mobile App Development, Web App Development, Desktop App Development, Software Quality Control, Custom Software Development, ReactJS, and AngularJS
