We are seeking a passionate and detail-oriented Technical Support Engineer to join our growing team. In this role, you'll work closely with customers and internal teams to troubleshoot, debug, and resolve technical issues related to our APIs and Python-based integrations. Your ability to understand code and APIs, communicate clearly, and solve problems efficiently will be key to success. Responsibilities Provide technical support for our RESTful APIs, SDKs, and Python-based applications. Investigate and troubleshoot customer-reported issues and guide them toward resolution. Debug and analyze logs, scripts, and system behavior to resolve integration problems. Collaborate with engineering and product teams to report bugs and suggest improvements. Create and maintain support documentation, FAQs, and internal knowledge bases. Act as a bridge between customers and internal teams to ensure smooth issue resolution. Requirements 1-2 years of experience in a technical support, software engineering, or customer-facing engineering role. Strong working knowledge of Python. Good understanding of REST APIs, HTTP methods, and common integration challenges. Experience with tools like Postman, cURL, and JSON parsing. Basic understanding of authentication mechanisms like OAuth 2.0 API keys, etc. Strong communication skills and a customer-first mindset. This job was posted by Athmiya Hm from WorkOnGrid.
About GRID: We are pioneering the future of Operations Intelligence for the utilities. Our platform helps organizations optimize operations, enhance efficiency, and drive innovation through cutting-edge technology. With our platform, we are changing the way utilities deploy field operations, automation and data management applications on the distribution side. About the Role: We are looking for a passionate Data Scientist with 3–5 years of experience in the energy sector to join our team. In this role, you will leverage advanced data science, machine learning, and deep learning techniques to solve real-world challenges in energy demand forecasting, smart grid optimization, renewable integration, and asset performance. You will work closely with business stakeholders, domain experts, and data engineers to turn complex datasets into actionable insights that drive efficiency, sustainability, and innovation in the energy industry. This role offers the opportunity to contribute directly to the transformation of the energy sector through AI-driven solutions. Responsibilities: Collaborate with business stakeholders and domain experts to understand challenges and opportunities within the energy sector. Design and develop machine learning and deep learning models for energy applications such as demand forecasting, grid management, renewable integration, and equipment optimization. Acquire and prepare data from diverse sources (IoT sensors, smart meters, SCADA systems, weather data, and market prices) ensuring quality and readiness for analysis. Conduct EDA to identify patterns, correlations, and anomalies that drive actionable insights. Implement data science solutions using regression, classification, clustering, and neural networks to improve decision-making and operational efficiency. Evaluate model performance with appropriate metrics and continuously refine models for accuracy and reliability. Develop clear dashboards, reports, and data visualizations to communicate findings to technical and non-technical stakeholders. Stay updated with emerging trends in AI, IoT, renewable energy technologies, and energy analytics. Collaborate with Data Engineers to enhance data infrastructure, collection strategies, and model deployment processes. Provide technical guidance and mentor junior data scientists or analysts when required. Requirement: Master’s in Data Science, Computer Science, Engineering, or related quantitative field. 3–5 years of experience as a Data Scientist, with focus in the energy/utilities/renewables domain. Strong programming skills in Python, with hands-on experience using pandas, scikit-learn, TensorFlow, PyTorch, or Keras. Proficiency in SQL for data querying and transformation. Strong foundation in machine learning algorithms, statistical analysis, and deep learning frameworks. Experience with data visualization tools (Tableau, Power BI, etc.) Familiarity with big data technologies (Hadoop, Apache Spark, Databricks) and cloud platforms (AWS, Azure, GCP). Domain expertise in areas like renewable energy, power generation, smart grids, oil & gas exploration, or energy trading. Strong analytical, problem-solving, and critical-thinking skills with experience working on large, complex datasets. Excellent written and verbal communication skills.
As a Market Research Intern, you will play a key role in gathering, analyzing, and interpreting data related to the utilities sector. You will research market trends, competitor strategies, regulatory changes, and customer behaviors to provide valuable insights. This is a great opportunity to gain hands-on experience in data analysis, understanding market dynamics, and supporting strategic decision-making processes in a rapidly evolving industry. Responsibilities Conduct in-depth market research and analysis in the utility sector, focusing on customer ecosystems across various geographies and potential partners. Identify industry trends, customer needs, and competitive landscapes to support strategic decision-making. Conduct thorough research to identify new companies and brands within the target group. Create a list of target accounts and key decision-makers to assist the sales teams. Utilize a variety of channels (e. g., online databases, industry reports, social media, trade shows, networking events) to discover potential new leads and companies. Identify key stakeholders, including decision-makers and influencers within the identified companies. Build and maintain a database of relevant stakeholders and contact information. Analyze emerging technologies and assess their potential impact on the utilities and related industries. Stay updated on market conditions, technological advancements, and key industry players. Share insights from market research to help develop marketing campaigns and sales strategies. Support the preparation of detailed market research documents for business development and strategic planning. Requirements BA/MBA degree in Marketing or a similar relevant field from top institutes. Strong research skills with the ability to quickly identify key information. Excellent written and verbal communication skills. Strong analytical abilities, with the capacity to handle and analyze large data sets. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Interest in learning about market dynamics and trends in the utilities sector. Motivated and eager to learn and grow. Attention to detail with a proactive attitude. Ability to work collaboratively in a team environment. This job was posted by Athmiya Hm from WorkOnGrid.
We are looking for a passionate Data Scientist with 3-5 years of experience in the energy sector to join our team. In this role, you will leverage advanced data science, machine learning, and deep learning techniques to solve real-world challenges in energy demand forecasting, smart grid optimization, renewable integration, and asset performance. You will work closely with business stakeholders, domain experts, and data engineers to turn complex datasets into actionable insights that drive efficiency, sustainability, and innovation in the energy industry. This role offers the opportunity to contribute directly to the transformation of the energy sector through AI-driven solutions. Responsibilities Collaborate with business stakeholders and domain experts to understand challenges and opportunities within the energy sector. Design and develop machine learning and deep learning models for energy applications such as demand forecasting, grid management, renewable integration, and equipment optimization. Acquire and prepare data from diverse sources (IoT sensors, smart meters, SCADA systems, weather data, and market prices), ensuring quality and readiness for analysis. Conduct EDA to identify patterns, correlations, and anomalies that drive actionable insights. Implement data science solutions using regression, classification, clustering, and neural networks to improve decision-making and operational efficiency. Evaluate model performance with appropriate metrics and continuously refine models for accuracy and reliability. Develop clear dashboards, reports, and data visualizations to communicate findings to technical and non-technical stakeholders. Stay updated with emerging trends in AI, IoT, renewable energy technologies, and energy analytics. Collaborate with Data Engineers to enhance data infrastructure, collection strategies, and model deployment processes. Provide technical guidance and mentor junior data scientists or analysts when required. Requirements Master's in Data Science, Computer Science, Engineering, or a related quantitative field. 3-5 years of experience as a Data Scientist, with a focus on the energy/utilities/renewables domain. Strong programming skills in Python, with hands-on experience using pandas, scikit-learn, TensorFlow, PyTorch, or Keras. Proficiency in SQL for data querying and transformation. Strong foundation in machine learning algorithms, statistical analysis, and deep learning frameworks. Experience with data visualization tools (Tableau, Power BI, etc. ) Familiarity with big data technologies (Hadoop, Apache Spark, Databricks) and cloud platforms (AWS, Azure, GCP). Domain expertise in areas like renewable energy, power generation, smart grids, oil & gas exploration, or energy trading. Strong analytical, problem-solving, and critical-thinking skills with experience working on large, complex datasets. Excellent written and verbal communication skills. This job was posted by Athmiya Hm from WorkOnGrid.
We are seeking a Frontend SDE-I with 2-3 years of solid experience in developing scalable, performant web applications using JavaScript and React. The ideal candidate will have a strong foundation in building Single Page Applications (SPAs), implementing micro-frontend architectures, and optimizing frontend performance. You should be passionate about code quality, enjoy conducting code reviews, and thrive in a fast-paced, collaborative environment. Responsibilities Build and maintain high-performance, modular, and scalable frontend applications. Develop responsive user interfaces based on UI/UX designs with pixel-perfect precision. Optimize applications for speed, performance, and cross-browser compatibility. Implement and maintain SPA and micro-frontend architectures. Work with iFrames and embedded widget integrations across domains. Lead and participate in code reviews, mentoring, and guiding junior developers. Set up and configure frontend build tools like Vite and Webpack. Collaborate closely with product managers, designers, and backend engineers to ship features. Requirements 2-3 years of hands-on frontend development experience. Strong proficiency in JavaScript and React.js . Experience with TypeScript and Next.js is a plus. Deep understanding of Single Page Application (SPA) architecture, micro-frontends, and component-based design. Comfortable working with and refactoring code of high complexity. Skilled in frontend optimization, lazy loading, and performance tuning. Familiarity with server-side rendering (SSR) and static site generation is a plus. Experience working with iFrames, including sandboxing and cross-domain considerations. Familiarity with bundlers and build tools like Vite and Webpack. Knowledge of state management libraries (e. g., Redux, Zustand, or similar). Exposure to REST APIs and third-party service integrations. Experience with design systems or component libraries like Material UI or Ant Design. Understanding of CI/CD pipelines and testing frameworks such as Jest and React Testing Library. Excellent written and verbal communication skills in English. Strong problem-solving skills with a keen eye for detail and clean code practices. This job was posted by Athmiya Hm from WorkOnGrid.
As a DevOps Engineer, you will contribute to ensuring the stability, performance, and scalability of our infrastructure, with a strong focus on bare-metal deployments. You will be responsible for building and deploying reliable systems through automation, effective monitoring, and responsive incident management. Collaborating with development and operations teams, you will help implement best practices in system architecture, deployment, and disaster recovery, driving efficiency and resilience across our environments. Responsibilities Kubernetes & Containerization: Deploy and manage Kubernetes (K8s) clusters across bare-metal and cloud environments. Use Helm and similar tools for application packaging and deployment. Maintain K8s deployment templates for consistent service rollouts. Work with installation tools and distributions like kubeadm, kubespray, k3s, Rancher, or OpenShift for bare-metal deployments. Infrastructure & OS Support in designing and deploying infrastructure solutions for bare-metal environments. Perform Linux system administration and troubleshooting on physical servers. Use scripts and Infrastructure-as-Code (IaC) tools for automated provisioning and management. Demonstrate working knowledge of database servers. Networking & Security Assist in designing, implementing, and troubleshooting networking components such as routing, DNS, load balancing, and firewalls. Apply security best practices, including system hardening and access control. Support compliance-driven infrastructure operations. CI/CD & Automation Contribute to building and maintaining CI/CD pipelines for software build, testing, and deployment. Write automation scripts (Python, Bash, Ansible, etc. ) for deployment and operational tasks. Reliability & Operations Configure and manage monitoring & alerting tools to identify and resolve issues proactively. Support backup and disaster recovery (DR) strategies. Conduct performance checks and assist in capacity planning for infrastructure optimization. Collaborate with development teams to ensure smooth service deployment and reliability. Requirements Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience. 2-3 years of experience in DevOps, Site Reliability Engineering, or Systems Administration, preferably with exposure to bare-metal environments. Solid knowledge of Linux system administration, scripting, troubleshooting, and basic performance tuning. Good understanding of networking concepts (DNS, routing, load balancing, firewalls). Familiarity with disaster recovery and backup strategies. Working knowledge of database technologies and their administration. Hands-on experience with Kubernetes (cloud and/or bare-metal), including deployment and management. Proficiency in scripting and automation (Python, Bash, Ansible, or similar). Experience working with CI/CD pipelines and tools. Strong problem-solving and analytical skills. Good communication and collaboration abilities, with a willingness to learn and adapt in a fast-paced environment. This job was posted by Athmiya Hm from WorkOnGrid.