Location: Coimbatore (full time in office) Company Overview We are a software company selling a range of digital transformation solutions to SMEs using Odoo, AI, and web-based digital solutions. Our customers are based in Trinidad & Tobago, the US, and the UK. Our development centre is in Coimbatore. Summary We are seeking a detail-oriented Accounts Clerk with 2-3 years of experience to join our team. The ideal candidate will have a strong understanding of accounting principles and proficiency in Odoo software. Responsibilities Record financial transactions accurately in Odoo Reconcile bank statements and other accounts regularly Assist with month-end and year-end closing activities Prepare and chase clients and vendors regarding invoices and payments Assist in GST filing and maintain related records Calculate and handle TDS payments and file TDS returns on time Maintain records and VAT for multiple companies and in different currencies Requirements Bachelor's degree in Accounting or a related field 2-3 years of experience in accounting Proficiency in Odoo software (preferred) Strong knowledge of Indian accounting standards and regulations Experience handling accounts in multiple currencies Excellent attention to detail and accuracy Good communication and interpersonal skills Benefits Salary at market rate Generous holiday and sick pay Vibrant culture of learning different country accounting standards To Apply Please submit your resume and cover letter highlighting your relevant experience to hr@niodigital.co Show more Show less

As a Machine Learning Engineer at our company located in Coimbatore, Tamil Nadu, India, you will play a crucial role in developing, validating, and implementing machine learning models and algorithms. Your main responsibilities will include analysing large and complex datasets to derive actionable insights and collaborating with cross-functional teams to seamlessly integrate models into our products and services. It will be essential for you to stay updated with the latest techniques in statistical modeling and machine learning to ensure we are leveraging cutting-edge technologies. To excel in this role, you must have proven experience in machine learning algorithms and statistical modeling. Proficiency in Python is a must, along with familiarity with data science libraries such as TensorFlow, Scikit-learn, and Pandas. Additionally, experience with cloud platforms is required, with expertise in Google Cloud being preferred, though experience with AWS or Azure is also valuable. Your strong analytical and problem-solving skills will be put to the test, and your excellent communication abilities will be crucial in explaining complex models to non-technical stakeholders. In addition to the technical requirements, having previous experience in ERP systems and familiarity with big data technologies like Hadoop and Spark will be advantageous. An advanced degree in Computer Science, Statistics, or a related field is also a key qualification for this position. What makes this job great is the opportunity to work with a team of smart individuals in a friendly and open culture. You will not have to deal with micromanagement or cumbersome tools, and rigid working hours will not be a concern. At our company, you will have real responsibilities and the chance to expand your knowledge across various business industries. Your work will involve creating content that directly impacts our users on a daily basis, presenting you with real responsibilities and challenges in a fast-evolving company. Join us in this exciting role where you can contribute to cutting-edge machine learning projects and be part of a dynamic and innovative team.,

As a Machine Learning Engineer at our company based in Coimbatore, Tamil Nadu, India, your primary responsibility will be to design, implement, and deploy machine learning models. You will work closely with data scientists to transition prototypes into production-ready systems. Managing and automating the end-to-end machine learning lifecycle will be a key part of your role. Your duties will include implementing continuous integration and continuous deployment (CI/CD) pipelines customized for machine learning workflows. Monitoring the real-time performance of deployed models, managing model drift, and executing retraining strategies will also be crucial aspects of your responsibilities. Ensuring reproducibility, traceability, and versioning for machine learning models and datasets will be essential. Additionally, you will be tasked with optimizing the machine learning infrastructure for enhanced performance, scalability, and cost-efficiency. It will be important to stay abreast of the latest trends and tools in the field of machine learning and MLOps to continuously improve our practices. To excel in this role, you will need strong programming skills, particularly in Python, along with familiarity with ML frameworks such as TensorFlow and PyTorch. Experience with data processing tools like Pandas and Scikit-learn, as well as CI/CD tools like Jenkins or GitLab CI, will be beneficial. Proficiency in containerization technologies like Docker, orchestration tools like Kubernetes, and ML model versioning tools like MLflow or DVC is also desired. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure and their ML deployment services will be advantageous. The ideal candidate will have previous experience in a machine learning or data science role, along with expertise in advanced monitoring and logging tools tailored for ML models. Possessing certification or training in MLOps, machine learning, or related fields, as well as a background in software development or software engineering, will be beneficial. Familiarity with CRM & ERP systems and their data structures, along with a strong understanding of the latest machine learning trends and techniques, is highly valued. In this role, you will have the opportunity to work with a team of smart individuals in a friendly and open culture. There are no cumbersome managers or unnecessary tools to deal with, and rigid working hours are not a part of our work environment. You will have real responsibilities and the chance to expand your knowledge across various business sectors. By creating content that benefits our users on a daily basis, you will face real challenges in a rapidly evolving company environment.,