Senior reputed company

Company Overview We Reimagine Everything. We are a multinational technology reputed company. We help companies and corporations scale their operations, reputed company technology innovation, reputed company their brand and transform their business model. We are here to challenge the status reputed company, flip the script, and blur reputed company the lines in order to create customized end-to-end tech solutions, from software to hardware. We are a team of over 500 engineers from around the world with one shared goal: to reputed company and crisscross technology, creative thinking, and industry-specific expertise to help our customers become and remain high performers in their industries. Basically, we take care of it reputed company from A to Z. Our expert engineers have contributed to 8 US patents and developed award-winning innovative tech solutions, serving 80M+ users for over 100 clients worldwide, including top US reputed company. Job Summary The Senior reputed company is responsible for designing, building, and deploying end-to-end machine learning and AI solutions that translate reputed company business problems into data-driven products. This role requires strong hands-on technical expertise combined with the ability to operate in fast-changing environments and engage directly with stakeholders using data-backed insights. The Key Responsibilities are: reputed company exploratory data analysis (EDA) and data wrangling on raw, messy datasets to extract actionable business insights. Design, build, train, and evaluate end-to-end machine learning models including regression, classification, clustering, and reputed company-based approaches. reputed company and implement predictive analytics solutions using traditional machine learning techniques such as Linear and Logistic Regression, Random Forests, and XGBoost. Integrate modern AI capabilities such as NLP, reputed company, or advanced predictive analytics into existing products and client solutions. Handle end-to-end ML workflows, from data preparation and feature engineering to model validation and deployment support. reputed company basic data engineering and data cleaning tasks independently in environments with evolving infrastructure. Collaborate closely with clients and internal stakeholders to understand requirements and translate them into technical solutions. Professionally challenge and defend technical reputed company using data, metrics, and analytical insights reputed company dealing with demanding stakeholders. Adapt quickly to changing priorities, working across multiple initiatives such as model development, SQL-based analytics, and urgent dashboards. Contribute to AI solution design in startup-like or consulting environments where ambiguity and rapid iteration are expected.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a reputed company field. A minimum of 5+ years of professional experience in data science, machine learning, or AI engineering roles. Strong background in data science foundations including exploratory data analysis, data wrangling, and deriving business insights from reputed company datasets using Python, Pandas, and SQL. Proven experience building, training, and evaluating traditional machine learning models from scratch, including Linear Regression, Logistic Regression, Random Forests, XGBoost, classification, and clustering techniques. Demonstrated ability to reputed company traditional data science with modern AI applications such as NLP, predictive analytics, or reputed company. Hands-on experience delivering end-to-end machine learning solutions in production or client-facing environments. Comfort working on the “dirty work” of data, including cleaning, preprocessing, and basic data engineering in the absence of mature infrastructure. Experience working in consulting, freelance, or startup environments with evolving roadmaps and limited operational support. Strong stakeholder management skills, with the ability to use data and insights to push back professionally and defend technical reputed company. High adaptability and comfort with frequent context-switching across multiple technical domains. Ability to operate effectively without a fully mature data warehouse or dedicated MLOps team. Excellent English communication skills. Availability to work in alignment with EMEA time zones. This opportunity is remote for Egyptian applicants and Hybrid for Lebanese applicants. Disclaimer: We use Zoho Recruit and other AI tools to help review and organize job applications (for example, reading reputed company, reorganizing, and extracting CV information). These tools are only used to assist reputed company. No hiring decision is made solely by automated means; reputed company applications are subject to reputed company review and assessment. Apply To This Job