Agronomist Jobs in Tunisia

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Purpose of the Job <br></span><p><span><span><span>The Freight Solution Manager will provide customer management teams with best solution that can increase the product revenues and profit at the same time enhance freight product operations service, efficiency and reduce direct and indirect cost. As a freight solution manager at Aramex, you will be the primary point of contact for clients regarding air freight inquiries. the role is pivotal in maintaining strong client relationships, while also delivering tailored freight solutions to meet their specific needs. You will play a crucial part in procuring competitive rates, managing shipments from start to finish, and supporting the sales team in securing new business opportunities</span></span></span><span><span><span><span><span>.</span></span></span></span></span></p><br><br> <br>Job Description <br><ul> <li>Cultivate and nurture strong relationships with clients to foster loyalty and retention</li> <li>Assists CMTs in all Sales and/or shipments that would require a subject matter expert</li> <li>Analyze customers’ business models, routes volumes, etc. to create / customize solutions using all possible modes of shipping “Air, Land and Sea”</li> <li>Going on joint sales visits with the CMT team when needed whether to regain lost clients, close new deals, cross sell existing clients, grow existing business, etc.</li> <li>Support CMTs to resolve customer cases in relation to claims, discrepancies, KPIs performance and assist them to resolve any operational problems</li> <li>Provide comprehensive freight solutions to clients, addressing their specific requirements and ensuring satisfaction</li> <li>Oversee the entire lifecycle of freight shipments, ensuring timely and efficient execution from booking to delivery</li> <li>Collaborate with internal stakeholders to coordinate freight logistics effectively</li> <li>Negotiate competitive rates with carriers, agents, and offices to secure the best and lowest pricing for clients</li> <li>Exceed overall freight targets for assigned customers through proactive management and strategic initiatives</li> <li>Provide the Station Manager and the CMT with effective market data. This may include information about the competition, upcoming projects, product statistics and product profitability reports, etc</li> <li>Conduct training for CMTs and other department new hires when needed to improve the products awareness within country and ensure they CMT are selling the product effectively</li> <li>Identify employees with high potential and propose career development plan</li> <li>Coordinate with the concerned Regional/Global Product Managers on all operational changes and updates needed</li> <li>Initiate and Implement Freight SOPs across the station</li> <li>Ensure accurate adoption of CargoWise and maintain integrity in milestone status updates</li> <li>Collaborate with the regional pricing desk for requests for quotations (RFQs), projects, and tenders as required and</li> <li>Share the updated sales and pricing list with CMTs and ensure CMTs are abiding with the list</li> <li>Negotiate and reduce costs from suppliers (airlines, sea lines, transportation companies)</li> <li>Agree with the direct manager on the annual product targets</li> <li>Ensure product revenue growth is met</li> <li>Take all necessary measures when possible, to reduce cost without compromising quality and standards</li> </ul> <br>Job Requirements - Experience and Education <br><ul> <li><span><span><span>Bachelor’s degree in supply chain management, Logistics, Business Administration, International Business, or a related field is often preferred.</span></span></span></li> <li><span><span><span>3-5 years of relevant experience in the air freight forwarding industry, with a strong understanding of global trade lanes.</span></span></span></li> <li><span><span><span>Proven experience in customer service and managing key business clients.</span></span></span></li> <li><span><span><span>Familiarity with CargoWise is preferred.</span></span></span></li> <li><span><span><span>Proficiency in Microsoft Office applications, including Word, Excel, and PowerPoint.</span></span></span></li> <li><span><span><span>Excellent written communication skills.</span></span></span></li> </ul> <br>Leadership Behaviors <br>Building Outstanding Teams<br>Setting a clear direction<br>Simplification<br>Collaborate &amp; break silos<br>Execution &amp; Accountability<br>Growth mindset<br>Innovation<br>Inclusion<br>External focus<br>Skills <br>Interpersonal Skills<br>Team Collaboration<br>Adaptability<br>Resilience<br>Problem Solving<br>Leadership Skills<br>Time Management<br>Decision Making<br>Negotiation Skills<br>Problem Solving And Critical Thinking<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> About the Role You’ll design coding tasks that challenge frontier AI coding agents.<br> Each task is a self-contained Docker environment with a broken piece of software; an AI agent attempts the fix; automated tests verify the outcome.<br> Your deliverable is the full task package: broken code, tests, instructions, and a reference solution proving the task is solvable.<br> Responsibilities : Invent a realistic developer scenario — a real bug, a broken ETL, a missing feature — not a toy problem.<br> Build a reproducible Docker environment with pinned dependencies.<br> Write a pytest that verifies outcomes, not specific commands — deterministic, non-flaky, and does not leak the fix.<br> Write an instruction.<br>md that reads like a Jira ticket a developer would receive.<br> Write a reference solve.<br>sh proving the task is solvable.<br> Calibrate difficulty so current state-of-the-art agents solve the task 20–60% of the time.<br> Iterate based on feedback from expert QA reviewers.<br> Later: review other authors’ tasks as a QA reviewer.<br> Not in scope Data labeling, prompt engineering.<br> Production code to ship — you design problems and verification for AI agents.<br> Leetcode puzzles — scenarios must look like real developer work.<br> Not every candidate task ships — quality over quantity.<br> Requirements 3+ years of production software development in one backend stack — Python, Go, Node.<br>js, Java, or Rust.<br> Depth in one stack beats breadth.<br> Python + pytest fluency — required regardless of primary stack.<br> The task harness is pytest-based even when the broken app is in another language.<br> Fixtures, parametrize, monkeypatch, timeouts, conftest.<br>py. Docker authoring — reproducible Dockerfiles, pinned dependencies, multi-stage builds when needed, non-root user.<br> Linux &amp; Bash — comfort debugging inside containers (strace, lsof, journalctl); shell beyond set -euo pipefail.<br> AI coding agent experience — Claude Code, Cursor, Roo Code, or similar, on non-trivial work.<br> You can cite a specific time the AI was confidently wrong and how you caught it.<br> English — B2+ written.<br> Not a fit Data Science, ML, or Computer Vision engineers without backend-engineering output.<br> Manual QA testers without automation or test authoring.<br> Frontend-only, low-code / no-code, IT Support, or Business Analysts.<br> Engineers who have never written pytest from scratch.<br> Junior, intern, or assistant as the most recent role.<br> Preferred qualifications Domain depth in Security, System Administration (nginx / systemd / cron), Scientific Computing (NumPy / PyTorch / SciPy), DevOps, or Git internals.<br> Modern Python tooling (uv, poetry, pyproject.<br>toml). Coverage tooling (pytest-cov, coverage.<br>py, gcov, llvm-cov, kcov).<br> Fuzzing or property-based testing (Hypothesis).<br> Prior contribution to agent-evaluation benchmarks or related frameworks.<br> Process Apply → Pass qualification (90-minute sample-task screen + short behavioral interview) → Join a project → Complete tasks → Get paid.<br> Time commitment Onboarding: ~10 hours per first task.<br> Steady state: ~5 hours per task, 2–4 parallel tasks per author.<br> Realistic weekly load: 8–20 hours.<br> Higher volume available for top performers.<br> You choose when and how to contribute; tasks must be submitted by the deadline and meet acceptance criteria.<br> Compensation: Paid contributions, rates up to $35/hour *.<br> Task-based compensation equivalent to hourly rate, depending on performance and volume.<br> Some projects include incentive payments.<br> *Rates vary based on expertise, skills assessment, location, project needs, and other factors.<br> Higher rates may be provided to highly specialized experts.<br> Lower rates may apply during onboarding or non-core project phases.<br> Payment details are shared per project.<br> Apply Submit your CV via the Mindrift platform.<br> Indicate your English level, note this role (Software Engineering Evaluation Specialist — Terminal Bench), and include a GitHub profile link if available.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Position:</b>Technical Lead (Silicon Validation)<br><br><b>Job Description:</b><p><b>Experience:</b>&nbsp;10-15 Years&nbsp;</p><br><br><p><br><b><u>What You'll Be Doing</u></b></p><br><br><p>Principal Accountabilities:</p><br><br><br><ul><li>Lead pre &amp; post-silicon functional validation activities for complex SoCs, MCUs, and ASICs.</li><li>Drive board bring-up covering power, reset, clock, straps, fuses, hardware initialization, and JTAG debug.</li><li>Develop and execute validation plans, test cases, and debug strategies for functional and system-level validation.</li><li>Lead hardware debug and failure analysis by performing root cause investigations of boot failures, system hangs, data corruption, memory access issues, and intermittent hardware failures.</li><li>Validate and debug interfaces such as PCIe, Ethernet, CAN/CAN FD, LIN, FlexRay, UART, I2C, and SPI.</li><li>Perform Lab Validation &amp; debugging using oscilloscopes, logic analyzers, protocol analyzers, bus sniffers, and JTAG.</li><li>Validate SRAM/Flash and debug memory initialization, access, and data integrity issues.</li><li>Read schematics and perform pin-level signal tracing to isolate hardware issues.</li><li>Work with RTL/design, firmware, architecture, and system teams to identify root causes and drive issues to closure.</li><li>Lead technical debug activities and mentor validation engineers.</li></ul><br><p>Job Complexity:</p><br><br><ul><li>Leads technical execution of silicon validation and hardware debug activities.</li><li>Provides technical guidance on silicon bring-up, validation, failure analysis, and debug methodologies.</li><li>Review validation plans, test methodologies, and debug approaches.</li><li>Coordinates with cross-functional teams to resolve complex silicon and system-level issues.</li><li>Drive issue tracking, validation metrics, and closure activities.</li><li>Mentor junior engineers on silicon debug and validation best practices.<br>&nbsp;</li></ul><p><b><u>What Are We Looking For</u></b></p><br><br><ul><li>10-15 years of strong hands-on expertise in silicon bring-up, board-level debugging, protocol validation, hardware failure analysis, and lab-based validation on real silicon platforms.</li><li>Strong experience with SoC, MCU, or ASIC bring-up and functional validation.</li><li>Hands-on experience with power, reset, clocking, straps, configuration errors.</li><li>Experience debugging PCIe, Ethernet, CAN/CAN FD, LIN, FlexRay, UART, I2C, or SPI interfaces.</li><li>Strong understanding of SRAM/Flash, register-level configuration, signal integrity, and hardware failure analysis.</li><li>Proficiency with oscilloscopes, logic analyzers, protocol analyzers, and other hardware debug equipment.</li><li>Ability to read schematics and perform pin-level signal tracing.</li><li>Strong root-cause analysis and problem-solving skills.</li><li>Experience leading technical debug activities and mentoring engineers.</li></ul><br><br><p><b><u>Education</u></b></p><br><br><ul><li>B.E./B.Tech/M.E./M.Tech in Electronics, Electrical Engineering, Embedded Systems, Computer Engineering, or related field.</li></ul><br><br><b>Location:</b>IN-TG-Hyderabad, India-Gowra Palladium (eInfochips)<br><br><b>Time Type:</b>Full time<br><b>Job Category:</b>Engineering Services<br> </div>

<p>The UN Secretary-General launched on 1 January 2019 a bold and new global reform which repositioned the UN Development System to deliver more effectively and efficiently with the achievement of the 2030 Agenda and the Sustainable Development Goals. As part of this reform, UN Resident Coordinator Offices (UN RCO), under the leadership of an empowered and independent UN Resident Coordinator - the highest-ranking official of the UN Development System and Representative of the UN Secretary-General at country level - support countries in the achievement of their development priorities and the attainment of the SDG's. In its Resolution A/RES/72/279, the United Nations General Assembly endorsed the transformation of the Development Operations Coordination Office (DCO) as a stand-alone coordination office within the United Nations Secretariat. DCO exercises managerial and oversight functions of the resident coordinator system under the oversight of the Chair of United Nations Sustainable Development Group (UNSDG). In 2026, DCO undertook a recalibration to ensure the RC system remains optimally configured to support the acceleration of the 2030 Agenda and embodies the UN 2.0 shift-anchored in data, <strong>digital</strong>, innovation, behavioral science, strategic foresight, and a mission driven organizational culture. The Associate Data Specialist contributes to interacting with counterparts, officers and technical staff in relevant organizational units in data engineering, data science and other data specialists, data owners and subject matter experts for the development and implementation of the databases, data collection systems and data analytics that optimize statistical efficiency and quality. It also contributes to the interaction with external counterparts in the UN funds, programs and other UN specialized agencies, consultants, and other partners to collaborate and exchange information and best practices. The position is located in the United Nations Resident Coordination Office (RCO) in Tunis, Tunisia, under the direct supervision of the Head of the Resident Coordinator Office.</p><p>Responsibilities</p><p>Within delegated authority, the incumbent will be responsible of the following duties:</p><ol><li>Develop and implement databases, data collection systems, data analytics, and other analysis, reporting and quality control capabilities; identifies appropriate data sources for analytics projects; identifies new data analysis process-improvement opportunities and strategies that optimize statistical efficiency and quality.</li><li>Identify, analyze, and interpret trends or patterns, applying statistical methods to structured and unstructured sources of information and data to surface relevant features and variables.</li><li>Implement process-improvement mechanisms for data analytics tasks; acquires and cleans data from primary and secondary sources; maintains and quality-assures databases and data systems, including UN INFO and CF results data.</li><li>Develop reports, dashboards, and other tools to effectively summarize findings and convey information to management across the development, humanitarian and peace nexus, supporting RC/UNCT evidence-based decision-making.</li><li>Document requirements, background information and methodology and establish documentation practices and standards for other staff to follow.</li><li>Draft inputs for a wide range of documents/reports, briefings/debriefings, correspondence, etc.</li><li>Contribute to the development of processes and tools to monitor and analyze model performance and data accuracy.</li><li>Design internal process improvements: automating manual processes, optimizing data delivery, re-designing architecture for greater scalability</li><li>Implement solutions to data-related technical problems and data infrastructure updates.</li><li>Contribute to the preparation and organization of datasets to ensure data scientists and analysts have the necessary data for feature extraction. Perform routine data processing and quality checks to maintain data integrity.</li><li>Collaborate with data engineers and data scientists to improve data flows, data quality, etc.</li><li>Contribute to the creation of basic data visualization outputs to aid decision-making and communications of analysis outputs.</li><li>Contribute to project tasks, assist with data collection and initial analysis, and report unresolved issues to senior staff.</li><li>Contribute to the production of data products like reports or newsletters related to data analysis activities.</li><li>Conduct data collection, cleaning, and preliminary analysis, contributing to the identification of patterns and trends.</li><li>Compile and clarify data insights and develop supporting materials in preparation for stakeholder communications.</li><li>Keep abreast of current and emerging trends in data analytics best practices, technologies, and tools, and proposes their application to strengthen the RCO's analytical function.</li><li>Build staff and partner capacity on data analytics, including delivering trainings and workshops for UN personnel and national counterparts.</li><li>Support data preparation and preliminary analysis, verification, and pattern identification; contributes to routine reporting and administrative aspects of the work plan.</li><li>Contribute to the design and development of data science products, including through advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and related algorithms and computational approaches, to generate insights not otherwise detectable through standard analysis.</li><li>Serve as a resource person and informal mentor on data analytics within the RCO, promoting a data-driven culture and knowledge-sharing across results groups.</li><li>Performs other duties as assigned</li></ol><p>Competencies</p><p>PROFESSIONALISM: Working collaboratively, Strategic thinking, Analytical thinking, Knowledge and understanding of sustainable development theories, concepts and approaches. Ability to identify and develop sources for data collection. Ability to undertake research, analyze data, make recommendations and write draft reports on sustainable development issues. The ability to analyze and interpret data in support of decision-making and convey resulting information to management. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>An advanced university degree (Master's degree or equivalent) in computer science, data science, analytics, statistics, applied mathematics, information management, data management, information systems, information science or a related quantitative field is required. A first-level university degree (Bachelor's degree or equivalent) in combination with qualifying experience may be accepted in lieu of the advanced university degree.</li><li>A minimum of two (2) years of progressively responsible experience in data analysis, statistics, monitoring and evaluation, research, data management, or a related field is required.</li><li>Experience in collecting, cleaning, validating, analyzing, and interpreting data from multiple sources to support evidence-based decision-making is required.</li><li>Experience using data analysis and visualization tools such as Power BI, Tableau, R, Python, SQL, or similar platforms is required.</li><li>Demonstrated experience in developing analytical products, dashboards, reports, or data visualizations for technical and non-technical audiences is required.</li><li>Experience conducting data quality assurance and applying data validation methodologies is required.</li><li>Demonstrated experience in developing and applying quantitative and statistical data modelling techniques, including forecasting, trend analysis, regression modelling, scenario analysis, and predictive analytics, to support strategic planning, SDG monitoring, programme performance assessment, and evidence-based policy and decision-making is required.</li><li>English and French are the working languages of the United Nations Secretariat. For this job opening, English and French and Arabic are required.</li></ul>