Company Description Zenardy is a technology consulting company specializing in implementing NetSuite industry solutions for Hi-tech, Food & Beverage, Manufacturing & Distribution, and General Business verticals. Role Description This is a full-time on-site role in Chennai for a NetSuite Analytics and Warehouse Engineer. The Engineer will be responsible for data engineering, data modeling, ETL processes, data warehousing, and data analytics. Qualifications Data Engineering and Data Modeling skills Experience in Extract Transform Load (ETL) Data Warehousing and Data Analytics skills Strong understanding of database systems and SQL Knowledge of NetSuite and related industry solutions Excellent problem-solving and analytical skills Bachelor's degree in Computer Science, Information Technology, or related field Relevant certifications like NetSuite Administrator or Developer are a plus Show more Show less
Company Description Zenardy is a technology consulting company specializing in implementing NetSuite industry solutions for various verticals including Hi-tech, Food & Beverage, Manufacturing & Distribution, and General Business. Role Description This is a full-time on-site role for a NetSuite Analytics and Warehouse Engineer located in Chennai. The engineer will be responsible for tasks related to data engineering, data modeling, Extract Transform Load (ETL), data warehousing, and data analytics. Qualifications Data Engineering and Data Modeling skills Experience in Extract Transform Load (ETL) processes Data Warehousing and Data Analytics skills Strong problem-solving and analytical skills Proficiency in SQL and other data querying languages Experience with NetSuite or similar ERP systems is a plus Bachelor's degree in Computer Science, Information Technology, or related field Show more Show less
We are seeking an experienced Senior Project Manager to lead the planning, execution, and delivery of large-scale Enterprise Resource Planning (ERP) projects. The ideal candidate will have a strong background in managing ERP implementations, excellent leadership skills, and the ability to drive projects forward to meet business objectives. Key Responsibilities: 1. Project Planning: - Develop comprehensive project plans, resource allocation, and budgets. - Define project scope, goals, and deliverables. 2. Team Management: - Lead cross-functional teams, including vendors, consultants, and internal stakeholders. - Provide guidance, coaching, and mentorship to team members. 3. ERP Implementation: - Oversee the configuration, testing, and deployment of ERP systems. - Ensure data migration, integration, and quality. 4. Stakeholder Management: - Communicate project status, progress, and issues to stakeholders. - Manage stakeholder expectations and ensure their needs are met. 5. Risk Management: - Identify, assess, and mitigate project risks. - Develop and implement risk management plans. 6. Quality Assurance: - Ensure ERP solutions meet business requirements and industry standards. - Conduct quality assurance reviews and audits. 7. Vendor Management: - Manage vendor relationships, including selection, contracting, and performance monitoring. 8. Budgeting and Cost Management: - Manage project budgets and ensure cost-effectiveness. - Track expenses and ensure alignment with the budget. Requirements: 1. 5+ years of experience in managing ERP projects. 2. Proven track record of successful ERP implementations. 3. Strong knowledge of ERP systems (e.g., SAP, Oracle, Microsoft Dynamics). 4. Excellent leadership, communication, and project management skills. 5. Ability to manage multiple stakeholders, vendors, and teams. 6. Strong analytical, problem-solving, and decision-making skills. 7. Bachelor's degree in Business Administration, Computer Science, or related field. 8. Certification in project management (e.g., PMP, PRINCE2) and ERP systems (e.g., SAP Certification).
About the Role: We are looking for a highly skilled and experienced Machine Learning / AI Engineer to join our team at Zenardy. The ideal candidate needs to have a proven track record of building, deploying, and optimizing machine learning models in real-world applications. You will be responsible for designing scalable ML systems, collaborating with cross-functional teams, and driving innovation through AI-powered solutions. Location: Chennai & Hyderabad Key Responsibilities: Design, develop, and deploy machine learning models to solve complex business problems Work across the full ML lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems Conduct research and stay up-to-date with the latest ML/AI advancements, applying them where appropriate Optimize models for performance, scalability, and robustness Document methodologies, experiments, and findings clearly for both technical and non-technical audiences Mentor junior ML engineers or data scientists as needed Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (Ph.D. is a plus) Minimum of 5 hands-on ML/AI projects , preferably in production or with real-world datasets Proficiency in Python and ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, XGBoost Solid understanding of core ML concepts: supervised/unsupervised learning, neural networks, NLP, computer vision, etc. Experience with model deployment using APIs, containers (Docker), cloud platforms (AWS/GCP/Azure) Strong data manipulation and analysis skills using Pandas, NumPy , and SQL Knowledge of software engineering best practices: version control (Git), CI/CD, unit testing Preferred Skills: Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.) Familiarity with big data technologies like Spark, Hadoop, or distributed training frameworks Experience working in Fintech environments would be a plus Strong problem-solving mindset with excellent communication skills Experience in working with vector database. Understanding of RAG vs Fine-tuning vs Prompt Engineering
About the Role: We are looking for a highly skilled and experienced Machine Learning / AI Engineer to join our team at Zenardy. The ideal candidate needs to have a proven track record of building, deploying, and optimizing machine learning models in real-world applications. You will be responsible for designing scalable ML systems, collaborating with cross-functional teams, and driving innovation through AI-powered solutions. Location: Chennai & Hyderabad Key Responsibilities: Design, develop, and deploy machine learning models to solve complex business problems Work across the full ML lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems Conduct research and stay up-to-date with the latest ML/AI advancements, applying them where appropriate Optimize models for performance, scalability, and robustness Document methodologies, experiments, and findings clearly for both technical and non-technical audiences Mentor junior ML engineers or data scientists as needed Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field Minimum of 3 hands-on ML/AI projects, preferably in production or with real-world datasets Proficiency in Python and ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, XGBoost Solid understanding of core ML concepts: supervised/unsupervised learning, neural networks, NLP, computer vision, etc. Experience with model deployment using APIs, containers (Docker), cloud platforms (AWS/GCP/Azure) Strong data manipulation and analysis skills using Pandas, NumPy, and SQL Knowledge of software engineering best practices: version control (Git), CI/CD, unit testing Preferred Skills: Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.) Familiarity with big data technologies like Spark, Hadoop, or distributed training frameworks Experience working in Fintech environments would be a plus Strong problem-solving mindset with excellent communication skills Experience in working with vector database. Understanding of RAG vs Fine-tuning vs Prompt Engineering Why Join Us: Work on impactful, real-world AI challenges Collaborate with a passionate and innovative team Opportunities for career advancement and learning Flexible work environment (remote/hybrid options) Competitive compensation and benefits To Apply: Please send your resume, portfolio (if applicable), and a brief summary of your ML/AI projects to ranjana.g@zenardy.com
Company Description Zenardy is a technology consulting company specialized in implementing NetSuite industry solutions for Hi-tech, Food & Beverage, Manufacturing & Distribution, and General Business verticals. Responsibilities And Duties As a Functional Consultant, you will be an integral part of our team, contributing to the successful implementation and support of various Oracle projects. Your responsibilities will include: Collaborate with cross-functional teams to deliver effective solutions on implementation and support projects. Gain a deep understanding of client requirements and translate them into comprehensive business requirements and functional specification documents. Produce essential artifacts such as FRD documents, configuration documents, test scripts, and training materials to ensure a smooth and efficient project lifecycle. Actively participate in discussions and workshops to identify and address business process improvements and optimization opportunities. Primary Key Skill Set Demonstrate strong communication skills, both written and verbal, to effectively convey complex ideas and solutions to clients and team members. Possess a robust theoretical foundation in finance and accounting principles, including an understanding of key concepts and industry best practices. Ability to articulate and present ideas clearly and concisely, fostering effective communication within the team and with clients. Qualifications Graduate with B.com/M.com/MBA ( Finance) with Strong accounting knowledge. CA/CMA qualified/Semi-qual are highly preferred Prior exposure to Oracle NetSuite/Cloud ERP or similar enterprise systems is advantageous. Prior experience in Finance/Accounting is advantageous. Strong analytical and problem-solving skills. Proactive mindset with a keen interest in learning and adapting to new technologies.
About the Role: We are looking for a highly skilled and experienced Machine Learning / AI Engineer to join our team at Zenardy. The ideal candidate needs to have a proven track record of building, deploying, and optimizing machine learning models in real-world applications. You will be responsible for designing scalable ML systems, collaborating with cross-functional teams, and driving innovation through AI-powered solutions. Location: Chennai & Hyderabad Key Responsibilities: Design, develop, and deploy machine learning models to solve complex business problems Work across the full ML lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems Conduct research and stay up-to-date with the latest ML/AI advancements, applying them where appropriate Optimize models for performance, scalability, and robustness Document methodologies, experiments, and findings clearly for both technical and non-technical audiences Mentor junior ML engineers or data scientists as needed Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field Minimum 3 years of relevant experience Minimum of 3 hands-on ML/AI projects, preferably in production or with real-world datasets Proficiency in Python and ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, XGBoost Solid understanding of core ML concepts: supervised/unsupervised learning, neural networks, NLP, computer vision, etc. Experience with model deployment using APIs, containers (Docker), cloud platforms (AWS/GCP/Azure) Strong data manipulation and analysis skills using Pandas, NumPy, and SQL Knowledge of software engineering best practices: version control (Git), CI/CD, unit testing Preferred Skills: Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.) Familiarity with big data technologies like Spark, Hadoop, or distributed training frameworks Experience working in Fintech environments would be a plus Strong problem-solving mindset with excellent communication skills Experience in working with vector database. Understanding of RAG vs Fine-tuning vs Prompt Engineering Why Join Us: Work on impactful, real-world AI challenges Collaborate with a passionate and innovative team Opportunities for career advancement and learning Flexible work environment (remote/hybrid options) Competitive compensation and benefits To Apply: Please send your resume, portfolio (if applicable), and a brief summary of your ML/AI projects to ranjana.g@zenardy.com
About the Role: We are looking for a technically strong Oracle Analytics / NetSuite Analytics Warehouse Engineer. This is a hands-on implementation role focused on building scalable data models, data pipelines, and impactful dashboards for enterprise clients. You will be responsible for designing and delivering end-to-end analytics solutions using Oracle Analytics Cloud (OAC), Autonomous Data Warehouse (ADW), and related tools, working closely with our delivery teams and client stakeholders. Key Responsibilities: Lead architecture, setup, and delivery of NetSuite Analytics Warehouse and Oracle Analytics Cloud projects Design and implement data pipelines between NetSuite and ADW/OAC Build data models, transformation logic, KPIs, and dashboards for finance and operational reporting Troubleshoot technical issues and performance bottlenecks across data layers Define best practices for solution design, governance, and documentation Collaborate with functional consultants to understand reporting requirements Provide technical leadership and mentorship to junior team members Experience and Qualifications: 1 to 3+ years of hands-on experience in Oracle Analytics / Business Intelligence / Data Warehousing Strong implementation experience with: NetSuite Analytics Warehouse (NSAW) Oracle Analytics Cloud (OAC) Autonomous Data Warehouse (ADW) Solid understanding of NetSuite data structures and reporting needs Bachelor’s degree in computer science, Engineering, Data Analytics, or related field Oracle certifications (preferred but not mandatory) Skills: Strong SQL skills and experience with data transformations Proficiency in building visualizations, reports, and dashboards Understanding of data modelling (star schema, snowflake, etc.) Ability to work independently and own the delivery of technical solutions Excellent communication and documentation skills Problem-solving mindset and attention to detail
We are seeking a highly skilled and experienced Machine Learning / AI Engineer to join our team at Zenardy. Your primary responsibilities will include designing, developing, and deploying machine learning models to address complex business problems. You will work through the entire ML lifecycle, from data collection and preprocessing to model training, evaluation, deployment, and monitoring. Collaboration with data engineers, product managers, and software engineers is essential to integrate ML models into production systems. You will also be expected to conduct research to stay current with the latest ML/AI advancements and optimize models for performance, scalability, and robustness. Additionally, documenting methodologies, experiments, and findings for technical and non-technical audiences, as well as mentoring junior ML engineers or data scientists when necessary, are key aspects of the role. The ideal candidate should hold a Bachelors or Masters degree in Computer Science, Machine Learning, Data Science, or a related field, along with a minimum of 3 years of relevant experience. Demonstrable hands-on experience in at least 3 ML/AI projects, preferably in production or with real-world datasets, is required. Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, and XGBoost is essential. A solid understanding of core ML concepts like supervised/unsupervised learning, neural networks, NLP, and computer vision is a must. Experience with model deployment using APIs, containers (Docker), and cloud platforms (AWS/GCP/Azure) is expected, along with strong data manipulation and analysis skills using Pandas, NumPy, and SQL. Knowledge of software engineering best practices including version control (Git), CI/CD, and unit testing is also required. Preferred skills include experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.), familiarity with big data technologies like Spark, Hadoop, or distributed training frameworks, and a background in Fintech environments would be advantageous. A strong problem-solving mindset, excellent communication skills, experience working with vector databases, and an understanding of RAG vs Fine-tuning vs Prompt Engineering are also desirable qualities. In return, you will have the opportunity to work on impactful, real-world AI challenges, collaborate with a passionate and innovative team, access opportunities for career growth and learning, and enjoy a flexible work environment with remote/hybrid options, as well as competitive compensation and benefits. To apply for this position, please submit your resume, portfolio (if applicable), and a brief summary of your ML/AI projects to ranjana.g@zenardy.com.,
You will be joining Zenardy, a technology consulting company that specializes in implementing NetSuite industry solutions for various verticals including Hi-tech, Food & Beverage, Manufacturing & Distribution, and General Business. As a NetSuite Analytics and Warehouse Engineer, you will be based in Chennai on a full-time on-site role. Your primary responsibilities will include data engineering, data modeling, ETL processes, data warehousing, and data analytics. To excel in this role, you should possess strong skills in Data Engineering and Data Modeling, along with experience in Extract Transform Load (ETL) processes. Additionally, proficiency in Data Warehousing, Data Analytics, database systems, and SQL is essential. Knowledge of NetSuite and related industry solutions is preferred. You should have excellent problem-solving and analytical abilities to tackle complex data challenges. A Bachelor's degree in Computer Science, Information Technology, or a related field is required. Relevant certifications such as NetSuite Administrator or Developer would be a bonus. If you are passionate about leveraging your expertise in data management and analytics within the NetSuite environment, this opportunity at Zenardy could be the next step in your career.,
As a NetSuite Analytics and Warehouse Engineer at Zenardy, you will be responsible for data engineering, data modeling, ETL processes, data warehousing, and data analytics in Chennai. Your role will involve utilizing your skills in Data Engineering and Data Modeling, Extract Transform Load (ETL), Data Warehousing, and Data Analytics. To excel in this role, you should have a strong understanding of database systems and SQL, along with knowledge of NetSuite and related industry solutions. Your excellent problem-solving and analytical skills will be key in ensuring the successful implementation of NetSuite industry solutions for Hi-tech, Food & Beverage, Manufacturing & Distribution, and General Business verticals. Ideally, you hold a Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications such as NetSuite Administrator or Developer will be considered a plus. If you are passionate about technology consulting and eager to contribute to the implementation of NetSuite solutions, we welcome you to join our team at Zenardy.,
We are seeking a highly experienced and results-driven Project Manager with a proven track record in leading end-to-end ERP implementations. This role is critical to the successful planning, execution, and delivery of complex, large-scale Enterprise Resource Planning (ERP) projects across the organization. The ideal candidate must bring deep expertise in managing ERP transformations and demonstrate hands-on involvement in every phase of the project lifecycle. Key Responsibilities 1. Project Planning & Execution Develop and manage detailed project plans, timelines, budgets, and resource allocations for ERP implementations. Define project scope, objectives, and deliverables that align with business goals. 2. ERP Implementation Leadership Lead full-cycle ERP implementations from initiation through to go-live and stabilization. Drive continuous improvement and system optimization post-deployment. 3. Cross-Functional Team Management Lead and coordinate internal cross-functional teams, third-party vendors, consultants, and business stakeholders. Provide strong leadership, coaching, and direction to ensure team alignment and accountability. 4. Stakeholder & Change Management Communicate project milestones, status updates, risks, and issues to all relevant stakeholders. Manage expectations and ensure stakeholder engagement. Support organizational change management and training efforts to facilitate smooth user adoption. 5. Risk & Issue Management Proactively identify and mitigate project risks and dependencies. Develop and execute risk response and contingency plans. 6. Quality & Compliance Ensure ERP solutions meet business, functional, and technical requirements. Oversee QA processes including testing strategies, validation, and audits. 7. Vendor & Partner Management Evaluate, select, and manage vendors and implementation partners. Monitor vendor performance to ensure alignment with project goals and timelines. 8. Budget & Cost Control Manage ERP project budgets effectively, ensuring optimal use of resources. Monitor project financials and report on budget performance. Requirements: 1. 5+ years of experience in managing ERP projects. 2. Proven track record of successful ERP implementations. 3. Deep understanding of ERP methodologies, system architecture, and integration points. 4. Strong knowledge of ERP systems (e.g., SAP, Oracle, Microsoft Dynamics). 5. Excellent leadership, communication, and project management skills. 6. Ability to manage multiple stakeholders, vendors, and teams. 7. Strong analytical, problem-solving, and decision-making skills. 8. Bachelor's/ Master's degree in Business Administration, Information Systems, Computer Science, or related field. 9. Certification in project management (e.g., PMP, PRINCE2) and ERP systems (e.g., SAP Certification).
ABOUT ZENARDY: Zenardy is a technology consulting firm specializing in the implementation of NetSuite industry solutions, serving clients across diverse sectors such as Hi-tech, Food & Beverage, Manufacturing & Distribution, and General Business. Our expertise spans Cloud ERP, Oracle & NetSuite Implementation, CRM & HCM Solutions, Software Services, and Field Services Consulting. We are dedicated to helping businesses improve operational efficiency and drive growth by delivering tailored ERP and technology solutions that address each client's unique needs. ROLES AND RESPONSIBILITIES: Discovery & Requirements Gathering: Lead discovery and requirements gathering sessions with clients to translate business needs into detailed system specifications and functional designs. Business Process Alignment: Collaborate with clients to align business processes with NetSuite functionalities, focusing on financials, procurement, sales, logistics, and supply chain management. Solution Definition: Work closely with technical teams to define solutions, including customizations and integrations, ensuring successful implementation. Documentation Development: Develop and document business requirements, test cases, user guides, and functional scoping documents to drive project success. Post-Implementation Monitoring: Monitor and manage system performance post-implementation, ensuring solutions continue to meet business needs and identify opportunities for optimization. UAT & Training: Provide expert guidance during user acceptance testing (UAT) and deliver comprehensive training to end-users. Client Relationship Management: Foster strong client relationships by offering ongoing support and identifying opportunities for future optimization and projects. CANDIDATE PREREQUISITES Bachelor's degree in Business, Accounting, Engineering, or a related field; Master’s degree or equivalent qualification is a plus. 4-5 years of consulting experience, with expertise in ERP systems, particularly NetSuite, and direct client interaction. NetSuite certification is a plus; extensive experience in NetSuite implementation, customization, and third-party system integrations. Strong ability to communicate technical concepts to non-technical stakeholders, with proven problem-solving, analytical, and collaboration skills to work effectively with cross-functional teams.