We are seeking a highly skilled and motivated Project Manager to join our team. The ideal candidate will have a proven track record in managing projects from initiation to completion, with strong leadership and communication skills. The candidate should be adept at coordinating cross-functional teams, managing budgets, and ensuring that all project deliverables meet quality standards. A background in [specific industry or field] is preferred, along with proficiency in project management methodologies and tools. Drive the product and business-planning process across cross-functional teams of the organization. Analyze consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective. Assess current competitor offerings, seeking opportunities for differentiation. Analyze product requirements and develop appropriate programs to ensure they re successfully achieved. Develop, implement, and maintain production timelines across multiple departments. Appraise new product ideas and strategize appropriate to-market plans. Understand the product market and Set pricing to meet revenue and profitability goals. Responsibilities Drive the execution of all product lifecycle processes for products, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch. Translate product strategy into detailed requirements for prototype construction and final product development by engineering teams. Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI. Analyze market data to develop sales strategies, and define product objectives for effective marketing communications plans. Collaborate closely with engineering, production, marketing, and sales teams on the development, QA, and release of products and balance of resources to ensure success for the entire organization. Develop product positioning and messaging that differentiates our organization and its features across primary market segments. Deliver MRDs and PRDs with prioritized features and corresponding justification. Work with external third parties to assess partnerships and licensing opportunities. I agree to the Terms of Service and Privacy Policy TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.
We are looking for an experienced and high-energy ML Ops Engineer. The primary function of this role is to design enterprise architecture. Envision and drive solution architecture after hearing the product s vision and user stories with ability to envision and drive a proactive architectural roadmap for an existing product keeping in mind the future requirements. Requirements Experience building end-to-end systems as a Platform Engineer, MLOps Engineer, or Data Engineer (or equivalent). Hands-on expertise in Python and ML frameworks. Expertise with Linux administration. Experience working with cloud computing and database systems. Experience building custom integrations between cloud-based systems using APIs. Experience developing and maintaining ML systems built with open source tools. Experience developing with containers and Kubernetes in cloud computing environments. Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.). Ability to translate business needs to technical requirements. Strong understanding of software testing, benchmarking, and continuous integration. Exposure to machine learning methodology and best practices. Experience with Prometheus and Grafana integrations for highly scalable environments. Responsibilities Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale. Take offline models data scientists build and turn them into a real machine learning production system. Develop and deploy scalable tools and services to handle machine learning training and inference. Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security. Facilitate the development and deployment of proof-of-concept machine learning systems. I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.
Role Job ID: FSI282505 Full Stack Intern Hyderabad Experience 0 to 1 Year Profile If you have it in you to build dynamic web architecture, APIs and databases in a stimulating, fast-paced environment, then please give us a shout out. You will be a part of an extremely passionate team at TensorGo that is researching and creating smart solutions based on next-gen cognitive technologies. You will get a chance to work on exciting projects at our state-of-the-art office, grow along with the company and be fruitfully rewarded for your efforts! Requirements You can rock with your knowledge in fundamental front end languages such as HTML, CSS and JavaScript. You can make value additions aided by your familiarity with advanced JavaScript libraries and frameworks such as React. You have top notch ability of server side languages such as NodeJS, Web Services, Micro service. Database technology such as MySQL also falls in your comfort zone. You can enhance our world with your Cloud Experience preferably AWS [EC2, RDS, S3, Lambda] or OCI. You take pride in your knowledge of code versioning tools such as Git. Third party integration like payment gateway and any Plugins. Familiar with third party libraries like D3 Chart, Video and Audio player is a plus. Development experience with webcam based recording or streaming is a plus. Knowledge withWebRTC protocol with any Media Server. Familiarity with React JS, JWT, OAuth, JSON web token, Node mailer. Responsibilities You ll develop high quality front end architecture with your team. Build solid back-end web services/micro services. Design and develop APIs and API documentation. Help the team in designing and normalizing databases. Ensure cross-platform optimization for web and mobile phones. Proactively ensure responsiveness of applications. Join the awesome squad. Apply now! Upload resume I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.
Job ID: PDI282506 Product Design Intern - TensorGo Job ID: PDI282506 Product Design Intern Role Job ID: PDI282506 Product Design Intern 0 to 1 Year Profile We are looking for a talented UI Designer who acts as a key, absolutely comfortable with interaction/visual designer of a UI/UX team through the product development cycle of successfully launched web, mobile, software applications and marketing collateral. Requirements Collaborate with product management and engineering to define and implement innovative solutions for the product direction, visuals and experience. Execute all visual design stages from concept to final hand-off to engineering. Create detailed wire-frames and high-fidelity mockups and visualizations, translate concepts into user flows, wireframes, mockups and prototypes. Create and ensure technical feasibility of UI/UX Design. Conceptualize and produce creative designs for online and offline collaterals. Manage entire design process from concept preparation to final artwork. Establish and promote design guidelines, best practices and standards. Responsibilities Demonstrable UI design skills with a strong portfolio [To be sent before the test]. Solid experience in creating wireframes, storyboards, user flows, process flows and site maps. Proficiency in Photoshop, Illustrator, or other visual design and wire-framing tools. Proficiency in HTML 5, CSS 3, Jquery, Bootstrap, JavaScript for rapid prototyping and WordPress/Webflow to publish. Excellent visual design skills with sensitivity to user-system interaction. Proficient in design and prototyping tools (Figma, Sketch, Photoshop, Adobe XD, Indesign Illustrator etc. Experience in optimizing existing user interface designs. Experience working in an Agile/Scrum development process. Excellent written and verbal communication skills. I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.
Role Job ID: CVE282506 Computer Vision Engineer Hyderabad Experience 3 to 5 Years Profile We are looking for a highly skilled Deep Learning Engineer to develop, implement, and optimize deep learning models. The ideal candidate will have expertise in neural networks, data processing, and model deployment to drive advanced AI solutions across various industries. Requirements Experience in development and implementation of computer vision products with a large scale data processing / analytics. Should have developed state of art AI/ML and DL applications/products. Experience working on TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, CNN, R-CNN, DNN, CuDNN, RNN, Mask R-CNN, YOLO, ResNext, GoogleNet, AlexNet, ResNet. SegNet, VGG Net, etc., Neural networks, frameworks and platforms. Solid programming skills with Python and C/C++. Good to have MatLAB experience. Should have used GPU computing (CUDA, OpenCL) and HPC Knowledge and experience in using pykafka, kafka broker, various messaging and steaming services. Hands on experience in developing efficient Computer Vision products. Should have extensive experience in cloud like AWS/Azure and Google. Implementation of research papers at the expected level of quality. Experience in using the dockerized container with micro services for deploying the applications. Experience in using the NoSQL databases. Ability to optimize the models to TensorRT and publishing for various edge devices. Hands-on experience in using and deploying optimized models for NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier and Raspberry Pi, other edge devices with DeepStream, GStream etc. Experience with Samsung Neural is an advantage. Responsibilities Own the product development milestone, ensure delivery to the architecture and identify challenges. Drive innovation in the product catering to successful initiatives and engineering best practices to be followed by core product development teams in the company. Developing, porting and optimizing computer vision algorithms and data structures on proprietary cores; Perhaps using design, implement, validate, and release applications. Involved in research and development effort of advanced product-critical computer vision components covering key product critical perception features such as feature extraction, tracking objects, sensor calibration. Solid foundation in computer vision: photogrammetry, multi-view geometry, visual SLAM, detection and recognition, 3D reconstruction. Write maintainable, reusable code, leveraging test-driven principles to develop high quality computer vision and machine learning modules. Visualization and solid understanding of deep neural networks. Experience with object detection, tracking, classification, recognition, scene understanding. Excellent knowledge on any/all of the given concepts in Computer Vision namely image classification, object detection and semantic segmentation developed using state of the art deep learning algorithms Experience/exposure to usage of open source technologies. Experience in owning technical architecture of the products, planning roadmaps and technically managing the team. Evaluate and advise on new technologies, vendors, products and competitors. Initiative and the ability to work independently and in a team. Must have managed teams but at the same time be a hands-on technology person. Join the awesome squad. Apply now! Upload resume I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.
Computer Vision Intern Employment type Full time Role Computer Vision Intern Hyderabad Experience 0 to 1 Year Profile We are looking for a passionate and motivated Computer Vision Intern to join our team. The ideal candidate will have a strong foundation in computer vision and machine learning concepts. This internship offers the opportunity to work on innovative projects, gain hands-on experience with real-world applications, and contribute to the development of cutting-edge computer vision solutions. Requirements Foundation knowledge and understanding of Deep Learning and Computer Vision. Read and implement research papers. Good in Data Structures and Algorithms. Intermediate proficiency in C++, Python and GIT. Worked on popular Deep Learning frameworks. Familiarity with Nvidia Jetson platform is a plus. Knowledge of Nvidia SDKs like Nvidia Deepstream, TensorRT is a plus. Responsibilities Be self-motivated and an individual contributor with a knack of not giving up. Contributing with the development team and product managers to proactively understand technical requirements, specifications and use cases. Be part of agile teams working in an agile environment, ensuring compliance with development methodology and technical processes. To sum it up- you ll understand business, formulate problems, extract relevant information, develop models, pilot and A/B test results. Join the awesome squad. Apply now! Upload resume I agree to the Terms of Service and Privacy Policy More about us TensorGo Software is a low code PaaS company specializing in deep learning products. Our platform simplifies building complex ML/DL applications with integrated APIs and custom neural networks, solving global challenges and shaping a smarter future.
We are looking for a proactive and driven DevOps/MLOps Intern to support the development of scalable infrastructure and deployment pipelines. You ll work closely with the engineering team to align system operations with product goals and gain hands-on experience with CI/CD, cloud, and containerization tools. Requirements Operations or systems administration experience, particularly on Linux. Passionate about Open Source Technologies and experience in dealing with open source packages. Knowledge on Docker, and/or cloud deployment technologies Strong understanding with container networking on Docker. Knowledge in Linux Internals and Shell/AWK/Sed scripting and Terraform Understanding application deployment by using CI/CD. Knowledge with monitoring tools like Prometheus, Grafana, Datadog, etc. Familiar with OCI, AWS, GCP, Azure and PaaS, IaaS, SaaS B.E or B.Tech in Computer Science or Electronics/Electrical is a MUST. Responsibilities You w ll convert Software Packages into Dockerfile(s) Maintain and map the life-cycle of a software component/package using Docker Implement and monitor tools like GitLab, GitHub Implement and improve monitoring and alerting. Experience in the tools like Nagios, Zabbix Implement cluster and broker technologies using Docker Implement and manage CI/CD pipelines preferably using Jenkins/Jenkins-X, Argo CD Implement an auto-scaling system for our Kubernetes nodes. Install various open-source components and debug issues related to software package installation in Docker/Kubernetes Environments, ELK, Kafka, Cassandra.
We are looking for a highly motivated and talented Computer Vision Intern to join our team at TensorGo Technologies. The ideal candidate will have a strong foundation in computer vision concepts and a passion for working with cutting-edge technologies. Roles and Responsibility Collaborate with the development team to design and implement computer vision algorithms and models. Work on image and video processing tasks, including segmentation, object detection, and feature extraction. Develop and maintain large-scale data pipelines using Python and other relevant tools. Conduct research and stay updated with the latest advancements in computer vision. Participate in code reviews and contribute to improving overall code quality. Work closely with cross-functional teams to integrate computer vision capabilities into existing products. Job Requirements Strong understanding of computer vision fundamentals, including image processing, machine learning, and deep learning. Proficiency in programming languages such as Python, C++, or Java. Experience with computer vision libraries and frameworks like TensorFlow, PyTorch, or OpenCV. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively. Strong analytical and critical thinking skills.
We are looking for a highly skilled Full Stack Lead to join our team at TensorGo Technologies, with 3-8 years of experience in the software product industry. The ideal candidate will have a strong background in full stack development and leadership. Roles and Responsibility Design and develop scalable, efficient, and reliable software applications using various technologies. Lead a team of developers to achieve project goals and objectives. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain technical documentation for software applications. Troubleshoot and resolve complex technical issues efficiently. Mentor junior developers to improve their skills and knowledge. Job Requirements Strong proficiency in programming languages such as Java, Python, or C++. Experience with front-end development frameworks like React or Angular. Knowledge of database management systems such as MySQL or MongoDB. Familiarity with cloud platforms like AWS or Azure. Excellent problem-solving skills and attention to detail. Strong communication and leadership skills.
We are looking for a highly motivated and talented Product Design Intern to join our team at TensorGo Technologies, a leading software product company. The ideal candidate will have a strong foundation in design principles and a passion for creating innovative products. Roles and Responsibility Collaborate with cross-functional teams to develop and implement new product features. Conduct user research and analyze data to inform design decisions. Create wireframes, prototypes, and high-fidelity designs for new products. Develop and maintain design documentation and specifications. Participate in design reviews and provide feedback to junior designers. Stay up-to-date with industry trends and emerging technologies. Job Requirements Currently pursuing or recently completed a degree in Industrial Design, Human-Computer Interaction, or a related field. Strong portfolio of design projects demonstrating creativity and technical skill. Excellent communication and collaboration skills, with the ability to work effectively with diverse stakeholders. Proficiency in design tools such as Sketch, Figma, Adobe Creative Suite, or similar. Ability to think creatively and develop innovative solutions to complex problems. Strong attention to detail and ability to manage multiple projects simultaneously.
We are looking for a highly motivated and talented Product Design Intern to join our team at TensorGo Technologies. The ideal candidate will have a strong foundation in software product design principles and a passion for creating innovative solutions. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain high-quality design documentation and specifications. Participate in the development of new features and products, providing feedback and suggestions. Conduct research and analysis to stay current with industry trends and emerging technologies. Work closely with the engineering team to ensure seamless implementation of designs. Contribute to the improvement of the design process and procedures. Job Requirements Strong understanding of software product design principles and methodologies. Excellent communication and collaboration skills, with the ability to work effectively with diverse teams. Proficiency in design tools and technologies, such as Sketch, Figma, or Adobe Creative Suite. Ability to think creatively and develop innovative design solutions. Strong problem-solving skills, with the ability to analyze complex problems and develop effective solutions. Familiarity with agile development methodologies and version control systems like Git.
We are looking for a highly motivated and skilled DevOps/MLOps Intern to join our team at TensorGo Technologies. The ideal candidate will have a strong foundation in software product development and a keen interest in machine learning operations. Roles and Responsibility Collaborate with cross-functional teams to design, develop, and deploy scalable software products. Develop and maintain automated testing frameworks to ensure high-quality code delivery. Participate in code reviews and contribute to improving the overall codebase quality. Work closely with the DevOps team to implement continuous integration and deployment pipelines. Assist in troubleshooting and resolving technical issues efficiently. Contribute to the development of new features and functionalities. Job Requirements Strong understanding of software product development life cycles and methodologies. Proficiency in programming languages such as Java, Python, or C++. Experience with agile development methodologies and version control systems like Git. Familiarity with cloud platforms such as AWS or Azure is a plus. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
Roles and Responsibility Manage and maintain computer systems, networks, and peripherals. Troubleshoot hardware and software issues to ensure smooth operation. Configure and install new software and hardware components. Monitor network performance and security. Collaborate with other teams to resolve technical issues. Develop and implement procedures for system maintenance and backup. Job Requirements Strong understanding of computer systems, networks, and protocols. Experience with installation, configuration, and troubleshooting of hardware and software. Knowledge of network security measures and firewalls. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Strong communication and interpersonal skills.
Profile We are looking for an experienced and high-energy ML Ops Engineer. The primary function of this role is to design enterprise architecture. Envision and drive solution architecture after hearing the product s vision and user stories with ability to envision and drive a proactive architectural roadmap for an existing product keeping in mind the future requirements. Requirements Experience building end-to-end systems as a Platform Engineer, MLOps Engineer, or Data Engineer (or equivalent). Hands-on expertise in Python and ML frameworks. Expertise with Linux administration. Experience working with cloud computing and database systems. Experience building custom integrations between cloud-based systems using APIs. Experience developing and maintaining ML systems built with open source tools. Experience developing with containers and Kubernetes in cloud computing environments. Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.). Ability to translate business needs to technical requirements. Strong understanding of software testing, benchmarking, and continuous integration. Exposure to machine learning methodology and best practices. Experience with Prometheus and Grafana integrations for highly scalable environments. Responsibilities Design the data pipelines and engineering infrastructure to support enterprise machine learning systems at scale. Take offline models data scientists build and turn them into a real machine learning production system. Develop and deploy scalable tools and services to handle machine learning training and inference. Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security. Facilitate the development and deployment of proof-of-concept machine learning systems.
Profile We are looking for a talented product designer who acts as a key, absolutely comfortable with interaction/visual designer of a UX/UI team through the product development cycle of successfully launched web, mobile, software applications and marketing collateral. Requirements Collaborate with product and engineering teams to design intuitive, scalable user experiences. Drive the entire design process from concept, user flows, wireframes to polished UI and final handoff. Create user journeys, detailed wireframes, high-fidelity designs, and interactive prototypes. Improve existing user interfaces for better performance, clarity, or usability. Explore and simplify complex processes through thoughtful UX design. Contribute to and maintain design systems, UI libraries, and brand standards. Ensure the technical feasibility of UI/UX designs in live environments. Work within Agile/Scrum teams and adapt to evolving product needs. Participate in design reviews and incorporate feedback into iterations. Responsibilities Demonstrable UI design skills with a portfolio or project samples. Exposure to creating wireframes, storyboards, user flows, process flows, and sitemaps. Proficiency with design tools such as Figma, Uizard, Framer, Sketch, Adobe Creative Suite, or similar. A strong sense of visual aesthetics with attention to user-system interaction. Familiarity with platforms like Lovable, Webflow, WordPress, Canva or equivalent. Basic understanding of front-end technologies including HTML5, CSS3, JavaScript, jQuery, and Bootstrap is a plus. Interest or experience in improving existing UI designs for better usability or performance. Comfortable working in a collaborative, Agile/Scrum environment. Strong written and verbal communication skills, and openness to feedback and learning.
Profile We are looking for a highly skilled Deep Learning Engineer to develop, implement, and optimize deep learning models. The ideal candidate will have expertise in neural networks, data processing, and model deployment to drive advanced AI solutions across various industries. Requirements Experience in development and implementation of computer vision products with a large scale data processing / analytics. Should have developed state of art AI/ML and DL applications/products. Experience working on TensorFlow, PyTorch, ONNX, MXNet, Caffe, OpenCV, Keras, CNN, R-CNN, DNN, CuDNN, RNN, Mask R-CNN, YOLO, ResNext, GoogleNet, AlexNet, ResNet. SegNet, VGG Net, etc., Neural networks, frameworks and platforms. Solid programming skills with Python and C/C++. Good to have MatLAB experience. Should have used GPU computing (CUDA, OpenCL) and HPC Knowledge and experience in using pykafka, kafka broker, various messaging and steaming services. Hands on experience in developing efficient Computer Vision products. Should have extensive experience in cloud like AWS/Azure and Google. Implementation of research papers at the expected level of quality. Experience in using the dockerized container with micro services for deploying the applications. Experience in using the NoSQL databases. Ability to optimize the models to TensorRT and publishing for various edge devices. Hands-on experience in using and deploying optimized models for NVIDIA Jetson Nano, TX1, TX2, Xavier NX, AGX Xavier and Raspberry Pi, other edge devices with DeepStream, GStream etc. Experience with Samsung Neural is an advantage. Responsibilities Own the product development milestone, ensure delivery to the architecture and identify challenges. Drive innovation in the product catering to successful initiatives and engineering best practices to be followed by core product development teams in the company. Developing, porting and optimizing computer vision algorithms and data structures on proprietary cores; Perhaps using design, implement, validate, and release applications. Involved in research and development effort of advanced product-critical computer vision components covering key product critical perception features such as feature extraction, tracking objects, sensor calibration. Solid foundation in computer vision: photogrammetry, multi-view geometry, visual SLAM, detection and recognition, 3D reconstruction. Write maintainable, reusable code, leveraging test-driven principles to develop high quality computer vision and machine learning modules. Visualization and solid understanding of deep neural networks. Experience with object detection, tracking, classification, recognition, scene understanding. Excellent knowledge on any/all of the given concepts in Computer Vision namely image classification, object detection and semantic segmentation developed using state of the art deep learning algorithms Experience/exposure to usage of open source technologies. Experience in owning technical architecture of the products, planning roadmaps and technically managing the team. Evaluate and advise on new technologies, vendors, products and competitors. Initiative and the ability to work independently and in a team. Must have managed teams but at the same time be a hands-on technology person.
Profile We are seeking a highly skilled and motivated Project Manager to join our team. The ideal candidate will have a proven track record in managing projects from initiation to completion, with strong leadership and communication skills. The candidate should be adept at coordinating cross-functional teams, managing budgets, and ensuring that all project deliverables meet quality standards. A background in [specific industry or field] is preferred, along with proficiency in project management methodologies and tools. Requirement Drive the product and business-planning process across cross-functional teams of the organization. Analyze consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective. Assess current competitor offerings, seeking opportunities for differentiation. Analyze product requirements and develop appropriate programs to ensure theyre successfully achieved. Develop, implement, and maintain production timelines across multiple departments. Appraise new product ideas and strategize appropriate to-market plans. Understand the product market and Set pricing to meet revenue and profitability goals. Responsibilities Drive the execution of all product lifecycle processes for products, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch. Translate product strategy into detailed requirements for prototype construction and final product development by engineering teams. Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI. Analyze market data to develop sales strategies, and define product objectives for effective marketing communications plans. Collaborate closely with engineering, production, marketing, and sales teams on the development, QA, and release of products and balance of resources to ensure success for the entire organization. Develop product positioning and messaging that differentiates our organization and its features across primary market segments. Deliver MRDs and PRDs with prioritized features and corresponding justification. Work with external third parties to assess partnerships and licensing opportunities.
Profile If you have it in you to build dynamic web architecture, APIs and databases in a stimulating, fast-paced environment, then please give us a shout out. You will be a part of an extremely passionate team at TensorGo that is researching and creating smart solutions based on next-gen cognitive technologies. You will get a chance to work on exciting projects at our state-of-the-art office, grow along with the company and be fruitfully rewarded for your efforts! Requirements You can rock with your expertise in fundamental front end languages such as HTML, CSS and JavaScript. You can make value additions aided by your familiarity with advanced JavaScript libraries and frameworks such as React. You have top notch ability of server side languages such as NodeJS, Web Services, Micro service. Database technology such as MySQL also falls in your comfort zone. You can enhance our world with your Cloud Experience preferably AWS [EC2, RDS, S3, Lambda] or OCI. You take pride in your knowledge of code versioning tools such as Git. Third party integration like payment gateway and any Plugins. Familiar with third party libraries like D3 Chart, Video and Audio player. Development experience with webcam based recording or streaming. WebRTC protocol with any Media Server. React with Next.JS framework. JWT, OAuth, JSON web token, Node mailer. Good at cron Jobs development and configuration. Responsibilities Develop high quality front end architecture. Build solid back-end web services/micro services. Design and develop APIs and API documentation. Help the team in designing and normalizing databases. Ensure cross-platform optimization for web and mobile phones. Proactively ensure responsiveness of applications.
Profile If you have it in you to build dynamic web architecture, APIs and databases in a stimulating, fast-paced environment, then please give us a shout out. You will be a part of an extremely passionate team at TensorGo that is researching and creating smart solutions based on next-gen cognitive technologies. You will get a chance to work on exciting projects at our state-of-the-art office, grow along with the company and be fruitfully rewarded for your efforts! Requirements You can rock with your knowledge in fundamental front end languages such as HTML, CSS and JavaScript. You can make value additions aided by your familiarity with advanced JavaScript libraries and frameworks such as React. You have top notch ability of server side languages such as NodeJS, Web Services, Micro service. Database technology such as MySQL also falls in your comfort zone. You can enhance our world with your Cloud Experience preferably AWS [EC2, RDS, S3, Lambda] or OCI. You take pride in your knowledge of code versioning tools such as Git. Third party integration like payment gateway and any Plugins. Familiar with third party libraries like D3 Chart, Video and Audio player is a plus. Development experience with webcam based recording or streaming is a plus. Knowledge withWebRTC protocol with any Media Server. Familiarity with React JS, JWT, OAuth, JSON web token, Node mailer. Responsibilities Youll develop high quality front end architecture with your team. Build solid back-end web services/micro services. Design and develop APIs and API documentation. Help the team in designing and normalizing databases. Ensure cross-platform optimization for web and mobile phones. Proactively ensure responsiveness of applications.
Having excellent communication, reasoning, and structured problem-solving. Holding Bachelor s/Master s degree in Computer Science, Data Science, Linguistics, or related field. Strong understanding of NLP, LLMs, and Generative AI frameworks (e.g., GPT, Claude, LLaMA, Mistral). Interested in Artificial Intelligence, Natural Language Processing (NLP), and human-computer interaction. Strong analytical and problem-solving with attention to detail. Responsibilities Research, experiment, and design effective prompts for LLMs across different applications. Test, and refine prompts to deliver accurate, context-aware, and reliable AI outputs. Analyze model outputs, identify gaps, and iterate prompts for better performance. Optimize prompts using few-shot, zero-shot, and chaining strategies to improve model performance. Collaborate with data scientists, ML engineers, and product teams to integrate AI capabilities into applications. Evaluate and validate AI outputs for accuracy, consistency, bias reduction, and alignment with business needs. Build and maintain a library of prompt templates, frameworks, and best practices. Research and adopt emerging techniques in prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning. Document workflows, prompt strategies, and evaluation methodologies for cross-team knowledge sharing. Ensure compliance with ethical AI guidelines and reduce risks of hallucinations or biased responses. Conduct A/B testing and experiments to continuously improve output quality and scalability