We are looking for a seasoned and detail-oriented finance professional to lead our Record to Report (R2R) function, with strong expertise in accounting, reporting, and compliance. Key Responsibilities: Prepare and review monthly, quarterly, and annual financial statements in accordance with statutory timelines. Ensure timely and accurate closing of books, including general ledger, sub-ledgers, and fixed assets. Lead and supervise general ledger accounting, technical accounting, and fixed asset accounting. Ensure compliance with accounting standards such as IND AS, IFRS, and local GAAP. Coordinate with internal and external auditors for a smooth and timely completion of audits. Maintain strong oversight on the consolidation of financials across multiple entities and geographies. Monitor and account for foreign exchange (FX) fluctuations and currency translation adjustments (CTA) in accordance with IND AS 21. Ensure accurate application and documentation of Revenue Recognition as per IND AS 115. Key Skills & Competencies: Deep technical knowledge of consolidation, revenue recognition, FX accounting, and currency translation principles. Strong understanding of IND AS, IFRS, and other applicable financial reporting standards. Proficient in ERP systems such as SAP, Oracle, or similar platforms. Excellent analytical, problem-solving, and stakeholder management skills. Proven experience in leading teams and working in a fast-paced, global environment. You may also share CV on TA@fareye.com
Join Us as a Site Reliability Engineer at FarEye! At FarEye , we believe logistics isn’t just about moving goods — it’s about creating delightful delivery experiences for millions worldwide. Our low-code Intelligent Delivery Management Platform empowers 150+ global enterprises across 30+ countries , making deliveries smarter, faster, and greener . 🚀 This is your opportunity to be at the heart of it. As a Site Reliability Engineer (SRE) , you’ll design, build, and scale systems that power the backbone of global logistics. From ensuring reliability and resilience to driving automation and innovation , you’ll shape how technology transforms one of the world’s most critical industries. 🌟 What Makes This Role Exciting? ✨ Work with cutting-edge tech (Cloud, Kubernetes, IaC, Monitoring stacks) ✨ Solve real-world challenges at a global scale ✨ Collaborate with passionate engineers to build resilient systems ✨ Make a direct impact on businesses & customers worldwide 🔧 What You’ll Do Own and evolve production environments for availability and performance Automate deployments, monitoring, and operational workflows Enhance CI/CD pipelines for faster, better delivery Build strategies for high availability, fault tolerance, and disaster recovery Lead performance tuning and incident response 🛠️ What You’ll Bring Strong scripting/programming skills (Python, Bash, Go) Hands-on expertise with AWS/Azure/GCP, Docker, Kubernetes Experience with monitoring & logging (Prometheus, Grafana, ELK) Solid understanding of infrastructure, networking & security A mindset of problem-solving, ownership, and collaboration 👉 At FarEye, every line of code you write, every system you optimize, and every problem you solve will ripple across global supply chains . If you’re passionate about reliability, scalability, and impact — this is where you belong. 🌍 Learn more about us: fareye.com 🔗 Explore FarEye on LinkedIn: FarEye
🚀 Join Us as an AI Intern at FarEye! At FarEye, we believe logistics isn’t just about moving goods — it’s about creating delightful delivery experiences for millions worldwide. Our low-code Intelligent Delivery Management Platform empowers 150+ global enterprises across 30+ countries, making deliveries smarter, faster, and greener. This is your opportunity to shape the future of logistics with AI-first innovations . As an AI Intern, you’ll work on real-world projects that bring intelligence and automation to global supply chains — from predictive insights to generative AI-powered solutions. 🌟 What Makes This Role Exciting? ✨ Work on cutting-edge AI/ML problems that impact global logistics ✨ Build and contribute to an AI-based Driver Training Module ✨ Hands-on experience with real datasets and applied machine learning ✨ Collaborate with experienced data scientists & engineers ✨ Learn, experiment, and contribute to production-level AI solutions 🔧 What You’ll Do Support in building and training ML models for predictive analytics & optimization Explore generative AI use cases for logistics automation and customer experience Work with data pipelines, cleaning, and pre-processing real-world datasets Contribute to proof-of-concept AI projects and pilots (including Driver Training module) Document learnings, insights, and present outcomes to stakeholders 🛠️ What You’ll Bring Currently pursuing Computer Science / IT degree from a Tier 1 university Strong foundation in Python and ML libraries (Pandas, Scikit-learn, TensorFlow/PyTorch) Familiarity with LLMs, NLP, or Computer Vision concepts (bonus) Good problem-solving skills and eagerness to learn new technologies Curiosity to explore real-world applications of AI in logistics Ability to work in a fast-paced, collaborative environment 📌 Internship Details Type : Unpaid Internship Duration : 3–6 months Location : Noida 👉 At FarEye, your internship is more than a learning opportunity — it’s a chance to apply AI in ways that touch millions of lives. From smarter delivery routes to AI-based driver training, the projects you’ll work on will have real-world impact . 🌍 Learn more about us: fareye.com 🔗 Explore FarEye on LinkedIn: https://www.linkedin.com/company/fareye/
Join Us as a Site Reliability Engineer at FarEye! At FarEye, we believe logistics isn’t just about moving goods — it’s about creating delightful delivery experiences for millions worldwide. Our low-code Intelligent Delivery Management Platform empowers 150+ global enterprises across 30+ countries, making deliveries smarter, faster, and greener. 🚀 This is your opportunity to be at the heart of it. As a Site Reliability Engineer (SRE), you’ll design, build, and scale systems that power the backbone of global logistics. From ensuring reliability and resilience to driving automation and innovation, you’ll shape how technology transforms one of the world’s most critical industries. 🌟 What Makes This Role Exciting? ✨ Work with cutting-edge tech (Cloud, Kubernetes, IaC, Monitoring stacks) ✨ Solve real-world challenges at a global scale ✨ Collaborate with passionate engineers to build resilient systems ✨ Make a direct impact on businesses & customers worldwide 🔧 What You’ll Do Own and evolve production environments for availability and performance Automate deployments, monitoring, and operational workflows Enhance CI/CD pipelines for faster, better delivery Build strategies for high availability, fault tolerance, and disaster recovery Lead performance tuning and incident response 🛠️ What You’ll Bring Strong scripting/programming skills (Python, Bash, Go) Hands-on expertise with AWS/Azure/GCP, Docker, Kubernetes Experience with monitoring & logging (Prometheus, Grafana, ELK) Solid understanding of infrastructure, networking & security A mindset of problem-solving, ownership, and collaboration 👉 At FarEye, every line of code you write, every system you optimize, and every problem you solve will ripple across global supply chains. If you’re passionate about reliability, scalability, and impact — this is where you belong. 🌍 Learn more about us: fareye.com 🔗 Explore FarEye on LinkedIn: FarEye
🚀 Join Us as an AI Intern at FarEye! At FarEye, we believe logistics isn’t just about moving goods — it’s about creating delightful delivery experiences for millions worldwide. Our low-code Intelligent Delivery Management Platform empowers 150+ global enterprises across 30+ countries, making deliveries smarter, faster, and greener. This is your opportunity to shape the future of logistics with AI-first innovations . As an AI Intern, you’ll work on real-world projects that bring intelligence and automation to global supply chains — from predictive insights to generative AI-powered solutions. 🌟 What Makes This Role Exciting? ✨ Work on cutting-edge AI/ML problems that impact global logistics ✨ Build and contribute to an AI-based Driver Training Module ✨ Hands-on experience with real datasets and applied machine learning ✨ Collaborate with experienced data scientists & engineers ✨ Learn, experiment, and contribute to production-level AI solutions 🔧 What You’ll Do Support in building and training ML models for predictive analytics & optimization Explore generative AI use cases for logistics automation and customer experience Work with data pipelines, cleaning, and pre-processing real-world datasets Contribute to proof-of-concept AI projects and pilots (including Driver Training module) Document learnings, insights, and present outcomes to stakeholders 🛠️ What You’ll Bring Currently pursuing Computer Science / IT degree from a Tier 1 university Strong foundation in Python and ML libraries (Pandas, Scikit-learn, TensorFlow/PyTorch) Familiarity with LLMs, NLP, or Computer Vision concepts (bonus) Good problem-solving skills and eagerness to learn new technologies Curiosity to explore real-world applications of AI in logistics Ability to work in a fast-paced, collaborative environment 📌 Internship Details Type: Unpaid Internship Duration: 3–6 months Location: Noida 👉 At FarEye, your internship is more than a learning opportunity — it’s a chance to apply AI in ways that touch millions of lives. From smarter delivery routes to AI-based driver training, the projects you’ll work on will have real-world impact . 🌍 Learn more about us: fareye.com 🔗 Explore FarEye on LinkedIn: https://www.linkedin.com/company/fareye/
Company Description FarEye is a last mile technology partner for companies focused on delivering an exceptional customer experience. Our vision is to ensure that every delivery worldwide reaches its destination on-time, accurately, efficiently, and sustainably. FarEye’s AI-powered platform allows businesses to turn deliveries into a competitive advantage by simplifying complex last-mile logistics through orchestration, real-time visibility, and branded customer experiences. We have 150+ customers across 30 countries and five global offices. Role Description This is a full-time on-site role for a Solution Engineer based in Noida. The Solution Engineer will be responsible for designing, implementing, and supporting software solutions for clients. Daily tasks involve working closely with clients and internal teams to understand requirements, integrating software with client systems, providing technical consulting, supporting presales activities, and ensuring successful delivery and deployment of solutions. Must-Have Skills 3–6 years experience in Solution Engineering, Business Consulting, or Value Engineering (preferably SaaS/logistics tech). Strong JavaScript skills for workflow/BPM customization , Knowledge of programming & SQL. Experience with low-code/no-code platforms & workflow automation. Understanding of supply chain & logistics operations (advantageous). Ability to translate complex challenges into actionable solutions. Proven experience in B2B SaaS solution delivery.
🚀 Join Us as an AI Intern at FarEye! At FarEye, we believe logistics isn’t just about moving goods — it’s about creating delightful delivery experiences for millions worldwide. Our low-code Intelligent Delivery Management Platform empowers 150+ global enterprises across 30+ countries, making deliveries smarter, faster, and greener. This is your opportunity to shape the future of logistics with AI-first innovations . As an AI Intern, you’ll work on real-world projects that bring intelligence and automation to global supply chains — from predictive insights to generative AI-powered solutions. 🌟 What Makes This Role Exciting? ✨ Work on cutting-edge AI/ML problems that impact global logistics ✨ Build and contribute to an AI-based Driver Training Module ✨ Hands-on experience with real datasets and applied machine learning ✨ Collaborate with experienced data scientists & engineers ✨ Learn, experiment, and contribute to production-level AI solutions 🔧 What You’ll Do Support in building and training ML models for predictive analytics & optimization Explore generative AI use cases for logistics automation and customer experience Work with data pipelines, cleaning, and pre-processing real-world datasets Contribute to proof-of-concept AI projects and pilots (including Driver Training module) Document learnings, insights, and present outcomes to stakeholders 🛠️ What You’ll Bring Currently pursuing Computer Science / IT degree from a Tier 1 university Strong foundation in Python and ML libraries (Pandas, Scikit-learn, TensorFlow/PyTorch) Familiarity with LLMs, NLP, or Computer Vision concepts (bonus) Good problem-solving skills and eagerness to learn new technologies Curiosity to explore real-world applications of AI in logistics Ability to work in a fast-paced, collaborative environment 📌 Internship Details Type: Unpaid Internship Duration: 3–6 months Location: Noida 👉 At FarEye, your internship is more than a learning opportunity — it’s a chance to apply AI in ways that touch millions of lives. From smarter delivery routes to AI-based driver training, the projects you’ll work on will have real-world impact . 🌍 Learn more about us: fareye.com 🔗 Explore FarEye on LinkedIn: https://www.linkedin.com/company/fareye/