Job Description: We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail operations. Key Responsibilities: • Develop computer vision models: Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases.• Microservice architecture: Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments.• Data processing pipelines: Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data.• Integrate with existing systems: Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling.• Performance optimization: Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints.• Monitor and improve: Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency.•Security and privacy: Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive information. Experience: •5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications.•Hands-on experience with microservices deployment on cloud platforms (e.g., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies.•Experience with real-time video analytics, including working with large-scale video data and camera feeds. Technical Skills:•Proficiency in programming languages like Python, C++, or Java.•Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) for developing computer vision models.•Strong understanding of microservice architecture, REST APIs, and serverless computing.•Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes).•Familiarity with edge computing and hardware acceleration (e.g., GPUs, TPUs) for running inference on embedded systems. Preferred Qualifications:•Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.).•Understanding of retail operations and common challenges in surveillance.•Knowledge of data privacy regulations such as GDPR or CCPA. Soft Skills:•Strong analytical and problem-solving skills.•Ability to work independently and in cross-functional teams.•Excellent communication skills to convey technical concepts to non-technical stakeholders. Benefits:• Competitive salary and stock options.• Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, we’d love to hear from you!Apply Now
Job Description We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. Responsibilities You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail Responsibilities : Develop computer vision models : Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases. Microservice architecture : Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments. Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data. Integrate with existing systems : Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling. Performance optimization : Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints. Monitor and improve : Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency. Security and privacy : Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive : 5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications. Hands-on experience with microservices deployment on cloud platforms (e.g., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies. Experience with real-time video analytics, including working with large-scale video data and camera Skills : Proficiency in programming languages like Python, C++, or Java. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) for developing computer vision models. Strong understanding of microservice architecture, REST APIs, and serverless computing. Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes). Familiarity with edge computing and hardware acceleration (e.g., GPUs, TPUs) for running inference on embedded Qualifications : Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.) Understanding of retail operations and common challenges in surveillance. Knowledge of data privacy regulations such as GDPR or Skills : Strong analytical and problem-solving skills. Ability to work independently and in cross-functional teams. Excellent communication skills to convey technical concepts to non-technical : Competitive salary and stock options. Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, wed love to hear from you! Apply Now. (ref:hirist.tech) Show more Show less
Job Description: We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail operations. Key Responsibilities: • Develop computer vision models: Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases. • Microservice architecture: Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments. • Data processing pipelines: Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data. • Integrate with existing systems: Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling. • Performance optimization: Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints. • Monitor and improve: Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency. •Security and privacy: Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive information. Experience: •5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications. •Hands-on experience with microservices deployment on cloud platforms (e.g., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies. •Experience with real-time video analytics, including working with large-scale video data and camera feeds. Technical Skills: •Proficiency in programming languages like Python, C++, or Java. •Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) for developing computer vision models. •Strong understanding of microservice architecture, REST APIs, and serverless computing. •Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes). •Familiarity with edge computing and hardware acceleration (e.g., GPUs, TPUs) for running inference on embedded systems. Preferred Qualifications: •Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.). •Understanding of retail operations and common challenges in surveillance. •Knowledge of data privacy regulations such as GDPR or CCPA. Soft Skills: •Strong analytical and problem-solving skills. •Ability to work independently and in cross-functional teams. •Excellent communication skills to convey technical concepts to non-technical stakeholders. Benefits: • Competitive salary and stock options. • Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, we’d love to hear from you! Apply Now
mokSa.ai is specializing in AI-powered surveillance audit solutions . Founded in 2021, the company focuses on helping businesses reduce losses from shoplifting and employee fraud by leveraging computer vision and machine learning technologies Job Description : We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. Responsibilities : You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail responsibilities - Develop computer vision models : Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases. - Microservice architecture : Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments. - Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data. - Integrate with existing systems : Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling. - Performance optimization : Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints. - Monitor and improve : Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency. - Security and privacy : Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive Skills & Requirements : - 5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications. - Hands-on experience with microservices deployment on cloud platforms (e., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies. - Experience with real-time video analytics, including working with large-scale video data and camera Skills - Proficiency in programming languages like Python, C++, or Java. - Expertise in deep learning frameworks (e. TensorFlow, PyTorch, Keras) for developing computer vision models. - Strong understanding of microservice architecture, REST APIs, and serverless computing. - Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes). - Familiarity with edge computing and hardware acceleration (e., GPUs, TPUs) for running inference on embedded Qualifications : - Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.) - Understanding of retail operations and common challenges in surveillance. - Knowledge of data privacy regulations such as GDPR - Strong analytical and problem-solving skills. - Ability to work independently and in cross-functional teams. - Excellent communication skills to convey technical concepts to non-technical - Competitive salary and stock options. - Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, wed love to hear from you!. Interested candidates can apply here: sravankumar.m@moksa.ai
We are looking for a skilled Computer Vision Engineer with a strong background in microservice deployment architecture to join our team. In this role, you will be tasked with creating and implementing computer vision models to analyze retail surveillance footage for various purposes such as theft identification, employee productivity monitoring, and store traffic analysis. Your primary responsibilities will include developing computer vision models by building, training, and optimizing deep learning models for tasks like theft detection, employee efficiency tracking, and store busy hours analysis. Additionally, you will be involved in designing and deploying scalable microservice-based solutions on cloud platforms to deliver real-time and post-event analytics for enhancing retail operations. Key responsibilities also involve developing data processing pipelines for real-time and batch video data streams, integrating computer vision services with existing retail systems, optimizing model performance, and ensuring compliance with security and privacy standards. The ideal candidate will have at least 3 years of experience in computer vision, preferably in retail or surveillance applications. Hands-on experience with microservices deployment on cloud platforms and real-time video analytics is required. Proficiency in programming languages such as Python, C++, or Java, as well as expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, is essential. Preferred qualifications include experience with edge device deployment, understanding of retail operations, and knowledge of data privacy regulations. Strong analytical, problem-solving, and communication skills are also desired. We offer a competitive salary, stock options, and health insurance. If you are enthusiastic about developing cutting-edge computer vision solutions and deploying them to revolutionize retail operations, we encourage you to apply now.,
mokSa.ai is specializing in AI-powered surveillance audit solutions. Founded in 2021, the company focuses on helping businesses reduce losses from shoplifting and employee fraud by leveraging computer vision and machine learning technologies Job Description : We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. Responsibilities : You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail responsibilities - Develop computer vision models : Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases. - Microservice architecture : Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments. - Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data. - Integrate with existing systems : Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling. - Performance optimization : Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints. - Monitor and improve : Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency. - Security and privacy : Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive Skills & Requirements : - 5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications. - Hands-on experience with microservices deployment on cloud platforms (e., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies. - Experience with real-time video analytics, including working with large-scale video data and camera Skills - Proficiency in programming languages like Python, C++, or Java. - Expertise in deep learning frameworks (e. TensorFlow, PyTorch, Keras) for developing computer vision models. - Strong understanding of microservice architecture, REST APIs, and serverless computing. - Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes). - Familiarity with edge computing and hardware acceleration (e., GPUs, TPUs) for running inference on embedded Qualifications : - Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.) - Understanding of retail operations and common challenges in surveillance. - Knowledge of data privacy regulations such as GDPR - Strong analytical and problem-solving skills. - Ability to work independently and in cross-functional teams. - Excellent communication skills to convey technical concepts to non-technical - Competitive salary and stock options. - Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, wed love to hear from you!. Interested candidates can apply here: sravankumar.m@moksa.ai
Responsibilities Design, deploy, and manage cloud-based infrastructure for machine learning workloads, ensuring scalability, reliability, and performance. Collaborate with data scientists and machine learning engineers to understand model requirements and operationalize machine learning pipelines. Implement CI/CD pipelines for automating the training, testing, and deployment of machine learning models. Develop and maintain monitoring and alerting systems to track the performance and health of deployed machine learning models. Optimize resource utilization and cost-effectiveness of cloud resources used for machine learning tasks. Implement security best practices to protect sensitive data and machine learning models in cloud environments. Work closely with software development teams to integrate machine learning models into production applications. Troubleshoot and resolve issues related to infrastructure, deployment, and performance of machine learning systems. Stay updated with the latest advancements in cloud computing, DevOps tools, and machine learning technologies. Document processes, procedures, and configurations related to machine learning infrastructure and deployment pipelines. Requirements Bachelors degree in Computer Science or related field. 2+ Experience with cloud platforms (AWS) and DevOps practices. Proficiency in scripting languages (Python, Shell scripting). Familiarity with containerization (Docker, Kubernetes) and machine learning frameworks. Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Certification in AWS and Kubernetes are Preferred Experience with infrastructure automation tools (Terraform, Ansible). Knowledge of machine learning deployment tools (MLflow, Kubeflow). Familiarity with cybersecurity principles for cloud-based systems. Perks & Benefits Salary is not a constraint to right candidate - as per market value (ref:hirist.tech)
About MokSa.ai MokSa.ai is a pioneer in AI-driven surveillance audit technology, revolutionizing how businesses combat shoplifting and employee fraud. Our cutting-edge platform delivers actionable insights for strategic decision-making, customer tracking, and employee management. Known for our commitment to resource optimization and operational efficiency, we empower businesses to thrive in a data-driven world. About The Job We are seeking a strong Sr. Scrum Master who can help with an organizations SAFe Agile Transformation, supporting global technology and business teams. As an Sr. Scrum Master, you will play a critical role in driving the adoption and implementation of SAFe Agile methodologies across the organization. You will work closely with teams and stakeholders to foster a culture of continuous improvement, collaboration, and high performance. Your expertise will help us accelerate our product development cycles, improve quality, and deliver innovative solutions. The ideal candidate will be responsible for Product Team motivation and innovation. Must have the ability and experience to push, drive, and motivate the product teams for completing all work according to the business value. Must continuously be two steps ahead of the team, and stakeholders. Key Responsibilities Scrum Facilitation : Guide and coach multiple Scrum teams on the adoption and implementation of Agile/Scrum practices. Facilitate all Scrum ceremonies, including daily stand-ups, sprint planning, sprint reviews, and retrospectives. Ensure that Scrum practices are followed, and team members understand and adhere to Agile principles. Team Support And Development Serve as a mentor and coach to Scrum Masters, Product Owners, and team members. Foster a culture of continuous improvement, encouraging teams to experiment, learn, and adapt their processes. Support the development of team members by providing feedback, identifying growth opportunities, and promoting professional development. Impediment Removal Identify and address any impediments that may hinder the team's progress. Collaborate with team members and stakeholders to remove obstacles and ensure smooth project execution. Escalate issues when necessary to ensure timely resolution. Stakeholder Collaboration Work closely with Product Owners and other stakeholders to ensure alignment on project goals, priorities, and deliverables. Facilitate effective communication between the development team and stakeholders. Assist in the development and management of product backlogs, ensuring they are well-groomed and prioritized. Process Improvement Identify and remove impediments that hinder Agile adoption and team productivity. Promote a culture of continuous improvement by encouraging teams to experiment, learn, and adapt their processes. Ensure teams maintain compliance with pharma regulatory requirements, including GxPwhere applicable. Metrics And Reporting Track and analyze key performance metrics to assess team performance and identify areas for improvement. Provide regular reports on team progress, sprint outcomes, and overall project status to stakeholders. Utilize data-driven insights to recommend and implement process improvements. Agile Advocacy Promote Agile principles and practices across the organization. Lead training sessions and workshops to educate teams and stakeholders on Agile methodologies. Stay up to date with industry trends and emerging Agile practices and introduce new ideas to the organization. Ceremonies/Events Daily Stand-up Backlog Refinement (Grooming) Sprint Planning Sprint Retrospectives Demo's UAT's Tools Jira / Jira Align Smartsheet Confluence MS Office 365 (Word, Excel, PowerPoint, Teams) OneNote WebEx Miro Qualifications 3-8 years of experience working with Agile methodologies, including Scrum, Kanban, and SAFe. Demonstrated success as a Scrum Master for newly forming teams, guiding them from startup to maturity. Experience working in large-scale organizations with global, multi-geographic team structures. Proficiency in Agile collaboration tools such as Jira, Confluence, Azure DevOps, or Rally. Advanced communication and facilitation skills with ability to influence and collaborate across organizational levels. Proven ability to manage cross-functional dependencies and navigate complex stakeholder landscapes. Pharma or life sciences experience preferred, particularly in regulated environments (e.g., GxP). PI Planning (Quarterly Planning) experience required. Agile certifications such as SAFe Certified ScrumMaster (CSM) or equivalent certification are required. Familiarity with pharma-specific projects and product delivery lifecycles. (ref:hirist.tech)
About mokSa.ai At Moksa.AI, we’re building intelligent solutions that empower businesses to unlock their full potential through AI-driven innovation. We're a fast-growing tech startup with a bold vision and a passionate team. If you're ready to shape the future of AI operations and scale impact, this is your moment. Role Overview We're searching for a Chief Operating Officer (COO) who has strong leadership skills and the ability to approach business with a creative point of view. Oversee the company's day-to-day operations, develop and implement business strategies, manage financial planning and budgeting, and ensure the operational efficiency of the company. The COO will lead our team of high-performing professionals to be efficient, productive, and effective. The ideal candidate has extensive experience within our industry, preferably having worked their way up to an executive role. We believe this trajectory helps a person develop a unique mix of business and management expertise, plus proficiency with the practices, policies, and procedures of our industry. 🧠 Job Title: Chief Operating Officer (COO) 📍Location: Madhapur, Hyderabad, Telangana 🕒Employment Type: Full-Time (Work from Office) 🚀Immediate Joiner Preferred Key Responsibilities Oversee daily operations of the company and ensure alignment with strategic goals Collaborate with cross-functional teams to improve efficiency and scalability Develop and implement operational policies, systems, and best practices Manage budgeting, forecasting, and resource allocation Lead performance tracking and reporting across departments Support product development and delivery with operational insights Build and mentor high-performing teams Ensure compliance with legal and regulatory requirements Act as a strategic partner to the CEO & CTO in decision-making and growth planning Qualifications 5 to 8 years of experience in operations leadership within IT/Tech companies Proven track record of scaling operations in a fast-paced environment Strong understanding of technology-driven business models Excellent leadership, communication, and problem-solving skills Ability to thrive in ambiguity and drive clarity Experience with budgeting, KPIs, and operational analytics Bachelor's degree required; MBA or equivalent preferred What We Offer A chance to shape the future of a high-impact AI startup Collaborative and innovation-driven culture Competitive compensation and growth opportunities Office located in the heart of Madhapur, Hyderabad Ready to lead the charge? Send your resume to sravankumar.m@moksa.ai with the subject line “COO Application
🏢 About MokSa.ai MokSa.ai is a pioneer in AI-driven surveillance audit technology, revolutionizing how businesses combat shoplifting and employee fraud. Our cutting-edge platform delivers actionable insights for strategic decision-making, customer tracking, and employee management. Known for our commitment to resource optimization and operational efficiency, we empower businesses to thrive in a data-driven world. 🎯 Role Overview We are seeking a dynamic and results-oriented Business Development Officer to spearhead our outreach efforts across social media and LinkedIn , with a strong focus on B2C sales and international markets . The ideal candidate will have a proven track record in SaaS product sales , lead generation, and client relationship management. This is a high-impact role for a proactive leader who can convert opportunities into long-term business success. 🔑 Key Responsibilities Drive B2C sales through strategic outreach on LinkedIn and other social platforms Generate high-quality leads and follow up to ensure conversion Promote and sell SaaS-based surveillance and audit solutions to global clients Schedule and conduct online meetings aligned with business goals Manage and nurture relationships with international clients across time zones Handle documentation, agreements, and KYC formalities with precision Collaborate with internal teams to align sales strategies with product offerings Provide feedback to product and marketing teams based on client insights 🧠 Requirements 4 to 7 years of proven hands-on experience in business development and SaaS sales Bachelor’s or Master’s degree in Business Administration or related field Strong command of English – both written and verbal Demonstrated success in lead generation, client handling, and sales conversion Experience working with international clients and remote teams Familiarity with CRM tools, LinkedIn Sales Navigator, and digital outreach platforms Self-motivated, organized, and comfortable working independently in a remote setup Location: Remote / Work from Home Employment Type: Full-Time Salary: Competitive – Based on Market Standards (No constraint for the right candidate) 🚀 Why Join Us? Be part of a fast-growing AI tech company redefining surveillance and retail intelligence Work remotely with a flexible schedule Collaborate with a passionate and innovative team Competitive compensation tailored to your experience and market value Ready to make an impact? Apply now and help us shape the future of AI-powered business intelligence. 📩 Interested candidates can apply at: sravankumar.m@moksa.ai
🧩 Job Title: Team Lead - Full Stack Developer Location: Greater Hyderabad, Telangana India Employment Type: Full-Time Department: Tech 🏢 About mokSa.ai mokSa.ai is a forward-thinking technology company transforming enterprise decision-making through AI-powered solutions. Our platform blends cutting-edge machine learning with intuitive design to help businesses unlock insights, optimize operations, and drive growth. We’re passionate about building tools that empower organizations to make smarter, faster, and more impactful decisions. Job Description Team Lead - Full Stack Developer Responsibilities: Develop and maintain both front-end and back-end systems. Collaborate with teams to design and implement features. Build and integrate APIs. Troubleshoot and optimize performance. Write clean, efficient, and well-documented code. Requirements : 5 years – 7 years of proven Hands on Experience Proficiency in front-end technologies (HTML, CSS, JavaScript, React ,Next.js). Experience with back-end technologies Node.js (Express.js, NestJS) and GraphQL Strong knowledge of databases (SQL/NoSQL). Experience with TypeScript and mobile development. Experience with Dart and Flutter is Preferred 🚀 Why Join Us? Work at the intersection of AI innovation and intuitive design Be part of a collaborative, mission-driven team Opportunity to shape Agile culture in a fast-paced tech company Competitive compensation and growth opportunities Interested candidates can apply here: sravankumar.m@moksa.ai
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