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corporate analysis planning senior officer

Crédit Agricole Egypt

<div>
 
 
 
 A GLIMPSE ABOUT CR&Eacute;DIT AGRICOLE EGYPT:
 
 
 
 
 
 
 
 
 Cr&eacute;dit Agricole Egypt
 
 Since its launch in 2006, Cr&eacute;dit Agricole Egypt has succeeded to become a strong player on the economic scene, positioning itself as the Reference European Bank in Egypt. Aiming to become a leading innovation-driven sustainable bank, Cr&eacute;dit Agricole Egypt is committed to bring its international expertise to the local market to serve its clients and drive the sustainable development in line with Egypt&rsquo;s national priorities.
 
 
 With a universal customer-focused model, Cr&eacute;dit Agricole Egypt is &ldquo;a whole bank just for you&rdquo; serving the entire spectrum of customers: individuals, SMEs, enterprises, Corporate and public sector. Prioritizing its customers&rsquo; best interests, Cr&eacute;dit Agricole Egypt presents an extensive range of services, tailored financial solutions and the sound advice, to accompany its clients in their walk of life. Awarded most innovative bank in Egypt, convenience and distinguished customer experience is Cr&eacute;dit Agricole Egypt&rsquo;s endeavor to attain its customers&rsquo; satisfaction throughout its nationwide network of branches and its state-of-the-art fully-fledged platform of digital services. Furthermore, Cr&eacute;dit Agricole Egypt is in line with the world&rsquo;s digital transformation, encouraging and implementing an innovative environment to exceed its customers&rsquo; expectations.
 
 
 In addition, for being an active contributor to the local economy, the bank is committed to support the development of the Egyptian community and the respect of the environment.
 
 
 
 
 
 
 
 
 
 
 Duties &amp; Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Deliver daily and weekly performance reporting and analytics of the line of business for a range of business requirements focused on the key drivers of value.
 </li>
 <li>
 Transformation of manual reports and dashboards to be automated and presented in dynamic form.
 </li>
 <li>
 Provide reliable, timely data and information together from a range of sources and provide thorough analysis, insights, and options to enable the Corporate Business Head to make sound business decisions.
 </li>
 <li>
 Monitor and analyze the outstanding balances and compare them to the budget to highlight variances and performance.
 </li>
 <li>
 Preparation of the monthly, quarterly and annual portfolio business review presentation for business review meetings and relevant material for other meetings including but not limited to: extracting data from various sources, constant communication with other supporting units to obtain relevant information, preparation of data analysis, tables, graphs, and circulation of the presentation for review and final management approval.
 </li>
 <li>
 Actively participate in line of business initiatives and projects as required.
 </li>
 <li>
 Provide deep analysis of gaps to come up with proposed solutions and recommendations to the business head to enhance performance.
 </li>
 <li>
 Prepare incentives/scorecards for our business partners.
 </li>
 <li>
 Support different business teams with problem-solving and decision support data and tools in addition to KPI&rsquo;s follow-up tools.
 </li>
 <li>
 Provide updates on regulatory changes and ensure all policies comply with CBE regulations and legislative requirements.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 3&ndash;5 years of banking experience, with a minimum of 2 years in corporate banking
 </li>
 <li>
 Credit Certificate is highly preferred
 </li>
 <li>
 Strong background in data analysis and performance reporting.
 </li>
 <li>
 Proven experience as an Analytics or Data Scientist
 </li>
 <li>
 Advanced knowledge of Microsoft Office, particularly advanced Excel
 </li>
 <li>
 Advanced proficiency in Power BI and data modeling.
 </li>
 <li>
 Strong presentation and communication skills
 </li>
 <li>
 Awareness or basic knowledge of R, Python and SQL; familiarity with business intelligence tools (e.g. DWH, SAS, Data Mining)
 </li>
 <li>
 High analytical and problem-solving skills.
 </li>
 <li>
 Familiarity with data science concepts is a plus.
 </li>
 </ul>
 
 
</div>

Corporate Analysis & Planning Senior Officer

Cleopatra Hospitals Group

<div>
 
 
 Core Responsibilities:
 
 
 
 
 
 
 
 Operational &amp; Functional Excellence
 
 
 <ul>
 <li>
 Issue Requests for Quotations (RFQs) to identify alternative suppliers capable of meeting the group&rsquo;s requirements for quality, pricing, payment terms, and delivery timelines.
 </li>
 <li>
 Prepare price analysis and cost comparisons to support supplier selection and cost optimization.
 </li>
 <li>
 Assist in supplier negotiations to achieve the most competitive pricing and contractual terms.
 </li>
 <li>
 Prepare and issue purchase orders, agreements, and award notifications when required.
 </li>
 <li>
 Compare cost rates across hospitals within the group to identify opportunities for cost reduction and implement approved alternatives.
 </li>
 <li>
 Provide analytical support for bids, tenders, and procurement deals through review of latest purchase prices, consumption data, and supplier details.
 </li>
 <li>
 Prepare regular reports on purchase orders, procurement activities, purchasing trends, and pricing analysis.
 </li>
 </ul>
 
 
 People &amp; Collaboration
 
 
 <ul>
 <li>
 Coordinate with procurement teams across the group to ensure alignment in purchasing practices and supplier engagement.
 </li>
 <li>
 Support procurement officials in affiliated hospitals by providing tender analysis and procurement data.
 </li>
 <li>
 Maintain effective communication with suppliers regarding orders, complaints, clarifications, and operational coordination.
 </li>
 <li>
 Collaborate with internal stakeholders to support procurement planning and ensure timely availability of pharmaceutical products.
 </li>
 </ul>
 
 
 Customer, Patient &amp; Stakeholder Focus
 
 
 <ul>
 <li>
 Monitor supplier performance to ensure timely delivery and compliance with product specifications.
 </li>
 <li>
 Manage supplier relations and maintain documentation of meetings and performance discussions to ensure alignment with company requirements.
 </li>
 <li>
 Work with suppliers to return or replace expired or near-expiry products and manage excess and obsolete pharmaceutical inventory.
 </li>
 </ul>
 
 
 Compliance, Safety &amp; Continuous Improvement
 
 
 <ul>
 <li>
 Ensure proper implementation of tender and corporate deal terms across all hospitals in the group.
 </li>
 <li>
 Follow up on procurement contracts, verify completion of required signatures, and monitor contract expiration dates to ensure timely renewal or re-tendering.
 </li>
 <li>
 Monitor and minimize cash payments across the group and identify alternative suppliers with better payment terms.
 </li>
 <li>
 Maintain accurate procurement records, documentation, and reporting in accordance with organizational policies and regulatory requirements.
 </li>
 <li>
 Identify procurement process improvements that enhance cost efficiency and supply reliability.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in pharmacy.
 </li>
 <li>
 5&ndash;7 years of experience in pharmaceutical procurement or supply chain at least 2 years at supervision level.
 </li>
 </ul>
</div>

Medication Procurement Supervisor

LSEG

<div>
 Job Summary:
 
 
 As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.
 
 
 Role &amp; Responsibilities:
 
 
 <ul>
 <li>
 Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
 </li>
 <li>
 Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
 </li>
 <li>
 Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
 </li>
 <li>
 Support the creation of dashboards, reports, and data visualizations to communicate findings.
 </li>
 <li>
 Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to understand data patterns and trends.
 </li>
 <li>
 Assist in the maintenance and updating of models and algorithms in production.
 </li>
 <li>
 Develop scripts for automating data processing tasks and workflows.
 
 
 </li>
 </ul>
 Qualifications and Experience Required:
 
 
 <ul>
 <li>
 3-5 years experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 </li>
 <li>
 Basic understanding of machine learning algorithms and their applications.
 </li>
 <li>
 Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
 </li>
 <li>
 Familiarity with SQL for querying relational databases and performing data manipulation.
 </li>
 <li>
 Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
 </li>
 <li>
 Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Ability to learn quickly and apply new concepts in data science.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
 </li>
 <li>
 A passion for learning and staying updated with the latest developments in data science and machine learning.
 </li>
 <li>
 Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Familiarity with NoSQL databases like MongoDB or Cassandra.
 </li>
 <li>
 Knowledge of basic NLP techniques for text data analysis.
 </li>
 <li>
 Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
 </li>
 <li>
 Interest in gaining exposure to LLMs and agentic frameworks
 
 
 </li>
 </ul>
 LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
 
 
 
 Career Stage:
 
 
 
 Senior Associate
 
 
 
 London Stock Exchange Group (LSEG) Information:
 
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Junior Data Scientist

Siemens

<div>
 
 About Brightly
 
 
 
 Brightly is a global leader in intelligent, cloud‑based asset lifecycle management, empowering 12,000+ clients with predictive insights to optimize maintenance, energy, and capital planning&mdash;backed by Siemens. Our products help schools, hospitals, cities, and manufacturers keep critical infrastructure running efficiently and sustainably.
 
 
 
 The Opportunity
 
 
 
 We&rsquo;re looking for a Senior Machine Learning Engineer to lead LLM‑powered application development&mdash;from prototype to production&mdash;on AWS. You&rsquo;ll design robust ML/LLM services that power search, recommendations, copilots, and workflow automation in Brightly&rsquo;s platform, partnering closely with product, data, and engineering teams. Responsibilities and skill expectations reflect current industry practice for senior ML/LLM engineers, including end‑to‑end model lifecycle ownership, production‑grade code, and MLOps.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Build LLM applications: Design and implement RAG pipelines, prompt orchestration, tools/agents, safety/guardrails, and evaluation harnesses; instrument for latency, cost, and quality. (Guided by current LLM engineer role practices.)
 </li>
 <li>
 Own the ML lifecycle: Data curation, feature engineering, training/fine‑tuning (LoRA/QLoRA), A/B testing, deployment, monitoring, and continuous improvement of models and prompts.
 </li>
 <li>
 Productionize on AWS: Ship scalable services on EKS/ECS/Lambda; leverage SageMaker, Bedrock, EMR, MSK, Step Functions; apply observability (CloudWatch/OpenTelemetry) and cost controls. (Duties aligned to modern AWS ML roles.)
 </li>
 <li>
 Scale training &amp; inference: Use distributed training (FSDP/DeepSpeed), quantization, caching, vector databases, and GPU/Inferentia for performance and efficiency.
 </li>
 <li>
 MLOps &amp; governance: Establish CI/CD for models (MLflow/Kedro/SageMaker Pipelines), model/version registries, data and prompt lineage, evaluation gates, and responsible‑AI controls. (Aligned with contemporary MLOps templates.)
 </li>
 <li>
 Partner across Brightly: Translate asset‑management use cases into ML/LLM solutions; collaborate with product managers and UX to ship customer‑visible features that measurably improve reliability, safety, and sustainability.
 </li>
 <li>
 Mentor &amp; lead: Provide technical leadership, review designs/PRs, and raise the bar on ML engineering excellence across the team. (Common senior ML expectations.)
 </li>
 <li>
 Perform Exploratory Data Analysis (EDA) on structured, semi‑structured, and unstructured datasets to identify patterns, correlations, feature importance, and data quality issues.
 
 
 </li>
 </ul>
 (Consistent with ML engineer responsibilities to analyze data before model development.)
 
 
 <ul>
 <li>
 Conduct deep research on asset-related, operational, and domain-specific datasets to understand root causes, trends, and predictive signals.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 
 Required experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years total software/ML engineering experience, with 3+ years building and operating ML systems in production.
 </li>
 <li>
 1+ years hands‑on LLM application development (e.g., RAG, fine‑tuning, prompt engineering, evaluators/guardrails, agentic workflows) using packages such as Langchain and Langgraph.
 </li>
 <li>
 AWS proficiency (3+ years): Strong with core services (EKS/ECS, Lambda, S3, DynamoDB/RDS, Step Functions, IAM) and ML stack (SageMaker, Bedrock or HF on AWS). (Representative AWS ML role skills.)
 </li>
 <li>
 Modeling &amp; frameworks: Python, PyTorch, Hugging Face ecosystem; vector stores (e.g., OpenSearch, PGVector, Pinecone), embeddings, retrieval, and evaluation metrics for NLP/LLMs. (In line with senior LLM roles.)
 </li>
 <li>
 MLOps: CI/CD for ML, model registries, experiment tracking, telemetry/monitoring, automated retraining; Docker/Kubernetes, GitHub Actions/GitLab CI. (Current MLOps expectations.)
 </li>
 <li>
 Data engineering fluency: ETL/ELT, streaming/batch (Spark/Flink), data quality and governance controls for ML.
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with distributed training (FSDP, DeepSpeed), RLHF, or Inferentia/Trainium optimization.
 </li>
 <li>
 Exposure to sustainability/asset/intelligent operations domains.
 </li>
 <li>
 Familiarity with security &amp; compliance for ML systems in enterprise environments. (Frequently included in senior ML roles.)
 
 
 </li>
 </ul>
 How you&rsquo;ll work
 
 
 <ul>
 <li>
 Pragmatic and product‑oriented: You bias to measurable outcomes and iterate quickly with stakeholders. (Modern senior ML role framing.)
 </li>
 <li>
 Engineering excellence: You write production‑quality Python, design reliable APIs/services, and uphold testing/observability standards. (Common duties in senior templates.)
 </li>
 <li>
 Collaborative leadership: You mentor peers and influence architecture across teams. (Industry‑standard senior expectations.)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS/EE/Math or related field (Master&rsquo;s preferred) or equivalent practical experience. (Typical for senior ML roles.)
 
 
 </li>
 </ul>
 Join a mission‑driven team building technology that keeps communities running&mdash;safer, greener, and more resilient&mdash;at global scale. You&rsquo;ll pair startup‑speed product work with the reach and rigor of Siemens.
 
 
 
 The Brightly culture
 
 
 
 We&rsquo;re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.
</div>

Senior Machine Learning Engineer

Mastercard

<div>
 
 Our Purpose
 
 
 
 
 Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
 
 
 
 
 Title And Summary
 
 
 
 Managing Consultant &ndash; Digital Transformation SME, Advisors &amp; Consulting Services
 
 
 Managing Consultant &ndash; Digital SME
 
 
 Advisors &amp; Consulting Services
 
 
 Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors &amp; Consulting Services team combines traditional management consulting with Mastercard&rsquo;s rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants.
 
 
 The Advisors &amp; Consulting Services group has five specializations: Strategy &amp; Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Strategy &amp; Transformation consultants lead clients through impactful decision-making as they tackle strategic, tactical, operational, and transformational business challenges. They apply a broad set of problem-solving techniques to improve the client&rsquo;s overall strategy, performance, and operations.
 
 
 Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard
 
 
 Roles and Responsibilities
 
 
 Client Impact
 
 
 <ul>
 <li>
 Lead client engagements across a range of industries and problem statements
 </li>
 <li>
 Develop strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value
 </li>
 <li>
 Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness
 
 
 
 </li>
 </ul>
 Team Collaboration &amp; Culture
 
 
 <ul>
 <li>
 Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members&rsquo; roles and skills
 </li>
 <li>
 Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels
 </li>
 <li>
 Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital
 </li>
 <li>
 Provide on-the-job training, coaching, and mentorship to junior consultants
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic qualifications
 
 
 <ul>
 <li>
 Undergraduate degree with work experience in consulting, corporate strategy, business intelligence, business line management, or product management
 </li>
 <li>
 Experience coaching and managing teams across multiple consulting engagements that involve structured problem solving and stakeholder management
 </li>
 <li>
 Experience managing key client relationships
 </li>
 <li>
 Knowledge of business KPIs, financials, and organizational leadership
 </li>
 <li>
 Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities
 </li>
 <li>
 Logical, structured thinking, and affinity for numerical analysis
 </li>
 <li>
 Advanced Word, Excel, and PowerPoint skills
 </li>
 <li>
 Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment
 </li>
 <li>
 Ability to communicate effectively in English and the local office language (if applicable)
 </li>
 <li>
 Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs
 </li>
 <li>
 Ability to travel to client sites on a semi-regular basis
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience generating new knowledge or creating innovative solutions for a firm
 </li>
 <li>
 Relevant industry expertise
 </li>
 <li>
 MBA or master&rsquo;s degree with relevant specializati
 
 
 
 </li>
 </ul>
 
 Corporate Security Responsibility
 
 
 
 All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
 
 
 <ul>
 <li>
 Abide by Mastercard&rsquo;s security policies and practices;
 </li>
 <li>
 Ensure the confidentiality and integrity of the information being accessed;
 </li>
 <li>
 Report any suspected information security violation or breach, and
 </li>
 <li>
 Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.
 </li>
 </ul>
</div>

Managing Consultant – Digital Transformation SME, Advisors & Consulting Services

Celebrity Cruises

<div>
 
 
 KEY RESPONSIBILITIES
 
 
 
 
 
 <ul>
 <li>
 Directs, coaches, supports, supervises, and evaluates (with the Sous Chef) all direct reports.
 </li>
 <li>
 Must have excellent food knowledge and a full understanding of culinary terms.
 </li>
 <li>
 Must be able to read, understand, follow, and prepare company recipes by maintaining the quality and consistency in taste according to the instructions provided by the corporate office.
 </li>
 <li>
 Must be proficient in completing tasks, work efficiently and productively.
 </li>
 <li>
 Must be able to work in any section of a kitchen.
 </li>
 <li>
 Coordinate and supervise all team members assigned to their section, assign and delegate tasks accordingly.
 </li>
 <li>
 Undertake recipe reviews daily. Maintain recipe folders in immaculate condition.
 </li>
 <li>
 Responsible for follow-through on any request within the area of responsibility received from the direct supervisor or manager on duty; this may include show plates, food samples and random food tastings.
 </li>
 <li>
 Control production levels and recommend ideas for improvements and better cost controlling.
 </li>
 <li>
 Prepare daily electronic food requisitions needed for his section production and countercheck deliveries for its accuracy; Report any discrepancies to his immediate supervisor.
 </li>
 <li>
 Must be able to oversee any main section (Sauce, Entremetier, Fish, Roast, Outlet CDP, Tournant and Cold Kitchen) and its entire food production.
 </li>
 <li>
 Maintain and ensure that Public Health are followed according to company standards and expectation (referring to US, Anvisa, Shipsan, Canadian, Australian etc.) and always followed within their section.
 </li>
 <li>
 Ensures that the HACCP program is carried out correctly.
 </li>
 <li>
 Maintains their assigned area in preparation for announced or unannounced United States Public Health type inspection either done by the Food &amp; Beverage Director or the actual inspectors.
 </li>
 <li>
 Reports for duty at assigned times, follows their supervisor&rsquo;s instructions, and ensures that personal appearance, uniform, and personal hygiene are in accordance with the company&rsquo;s rules and regulations.
 </li>
 </ul>
 
 
 
 
 
 FINANCIAL RESPONSIBILITIES
 
 
 
 
 
 <ul>
 <li>
 This position is responsible for cost containment through the proper use, handling and maintenance of records, reports, supplies and equipment.
 </li>
 <li>
 Identifies potential expense reductions through cost control.
 </li>
 <li>
 Analyzes operational problems and establishes controls.
 </li>
 <li>
 Reviews timesheets and forwards them to the Executive Chef for approval.
 </li>
 <li>
 May prepare a variety of reports and letters utilizing personal computer system and equipment.
 </li>
 <li>
 Ensures that items are requisitioned in correct quantities, within acceptable timeframes and in accordance with established control procedures.
 </li>
 <li>
 Conducts workstation spot checks to ensure items are correctly stored to minimize deterioration and waste.
 </li>
 </ul>
 
 
 
 
 
 MOTIVATIONAL RESPONSIBILITIES
 
 
 
 
 
 <ul>
 <li>
 Monitors and manages the various assigned workstation functions.
 </li>
 <li>
 Monitors the assignment of duties and responsibilities to their staff.
 </li>
 <li>
 Observes and evaluates staff and work procedures to ensure quality standards and service are met.
 </li>
 <li>
 Makes recommendations regarding personnel actions such as new hire requests and discharges, to ensure adequate and continuous staffing.
 </li>
 <li>
 Inspects workstations, work areas, equipment, etc. to ensure efficient service and conformance to standards.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS AND EDUCATION
 
 
 
 
 
 <ul>
 <li>
 A minimum of 8 years in an upscale hotel, resort, cruise ship or convention banqueting service and at least 2 years as Chef de Partie (shipboard experience preferred).
 </li>
 <li>
 A culinary school degree is required.
 </li>
 <li>
 Very strong management skills in a multicultural and dynamic environment.
 </li>
 <li>
 Very strong communication, problem solving, decision making, and interpersonal skills.
 </li>
 <li>
 Superior customer service, teambuilding, and conflict resolution skills.
 </li>
 <li>
 Knowledge of the principles and processes for providing personalized services including needs assessment techniques, quality service standards, alternative delivery systems, and guest satisfaction evaluation techniques.
 </li>
 <li>
 Strong planning, coaching, organizing, staffing, controlling, and evaluating skills.
 </li>
 <li>
 Intermediate computer software skills required.
 </li>
 <li>
 Possess a good understanding of basic accounting principles such as numbering flow, &ldquo;Debits/Credits&rdquo;, adjusting entries, and corrections.
 </li>
 <li>
 Ability to write reports and business correspondence and to establish a good rapport with the ship&rsquo;s Senior Officers and the corporate office.
 </li>
 </ul>
 
 
</div>

Chef De Partie

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
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 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
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 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
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 Experience with vectorized databases and unstructured search engines is a plus.
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 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
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 Publications or contributions to open-source projects are a plus.
 
 
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 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
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Data Scientist / Senior Machine Learning Engineer

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