Vimaan is looking to onboard multiple Machine Learning Engineers in Bengaluru, India to drive the development of computer vision and machine learning algorithms to power our cutting-edge wall-to-wall warehouse inventory tracking and verification platform. This is a unique opportunity to exploit a treasure cove of unseen real-world data coming from a multi-camera perception system and develop large-scale computer vision and deep learning models to build a product that creates a disproportionate value for the warehouse industry. The role involves hands-on CV/ML software development and deployment from understanding the product requirements, defining Computer Vision functional specs to designing, developing, and deploying CV/ML models in production at scale. The ideal candidate for the Machine Learning Engineer position should have an MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields, or a BS with 3+ years of experience in Computer Vision/Machine Learning. They should possess hands-on experience in developing new learning algorithms for computer vision tasks such as object detection, object tracking, instance segmentation, activity detection, depth estimation, optical flow, multi-view geometry, domain adaptation, adversarial and generative models, as well as representational learning with varying amounts of data. Knowledge of current deep learning literature and the mathematical foundations of machine learning is essential. Experience with popular object detection frameworks such as YOLO, SSD, or Faster R-CNN is considered a plus. The candidate should have the ability to train and debug deep learning systems, gain deep insights into data characteristics, and map those to appropriate model architectures. Experience working with inputs from multiple cameras and input modes is advantageous, as is experience in AI Infrastructure, Machine Learning Accelerators, On-Device Optimization, and training and deploying deep learning models on GPU-accelerated platforms. Strong programming skills with Python and experience with ML/DL frameworks like Tensorflow, Pytorch, etc., are required. Prior experience in deploying machine learning models in production environments, working with cloud platforms (e.g., AWS, Azure, Google Cloud), and familiarity with data pre-processing, augmentation, and visualization tools and libraries are necessary. The ideal candidate should be highly motivated, passionate, possess a strong work ethic, and be able to work effectively in a team or independently under supervision in a matrix management environment. Effective communication skills, problem-solving abilities, attention to detail, and a passion for staying at the forefront of technology advancements in machine learning and computer vision are key attributes. They should be able to work in a fast-paced, high-pressure startup environment, adapt to rapidly changing requirements, and convey complex technical concepts to non-technical stakeholders. The Machine Learning Engineer will be responsible for researching, designing, and developing machine learning algorithms and models for various tasks of detection, recognition, and classification for warehouse inventory management. They will implement and optimize deep learning architectures, explore techniques like transfer learning and data augmentation, guide annotation teams, curate and pre-process annotated datasets, collaborate with MLOps for integrating machine learning models into production systems, and conduct thorough performance analysis and evaluation of models using appropriate metrics and tools. It is essential for the Machine Learning Engineer to stay up-to-date with the latest advancements in machine learning and computer vision research and integrate relevant findings into the solutions developed at Vimaan. ABOUT VIMAAN Headquartered in Silicon Valley, with team members around the world, Vimaan is comprised of computer vision and hardware technologists, as well as warehousing domain experts with a successful history in technology startups. Vimaan's primary mission is to deliver computer vision and machine learning solutions to solve long-standing inventory visibility, accuracy, and quality challenges in the supply chain.,
As a Machine Learning Engineer at Vimaan, you will play a crucial role in developing cutting-edge computer vision and machine learning algorithms for the wall-to-wall warehouse inventory tracking and verification platform. Your responsibilities will include: - Developing new learning algorithms for various computer vision tasks such as object detection, object tracking, instance segmentation, and more - Training and debugging deep learning systems, gaining deep insights into data characteristics, and mapping them to appropriate model architectures - Working with popular object detection frameworks like YOLO, SSD, or Faster R-CNN - Collaborating with MLOps for integrating machine learning models into production systems - Conducting thorough performance analysis and evaluation of models using appropriate metrics and tools To excel in this role, you should have: - An MS in computer vision, machine learning, AI, applied mathematics, data science, or related technical fields, or a BS with 3+ years of experience in Computer Vision/Machine Learning - Hands-on experience in developing computer vision algorithms and deep learning models - Knowledge of current deep learning literature and mathematical foundations of machine learning - Strong programming skills with Python and experience with ML/DL frameworks like Tensorflow, Pytorch - Experience with cloud platforms like AWS, Azure, Google Cloud, and data pre-processing, augmentation, and visualization tools - Effective communication skills, problem-solving abilities, attention to detail, and a passion for technology advancements in machine learning and computer vision In addition to the technical skills, you should be highly motivated, possess a strong work ethic, and work effectively in a team or independently. Adaptability to changing requirements and the ability to convey complex technical concepts to non-technical stakeholders are essential attributes for success in this role. About Vimaan: Vimaan is headquartered in Silicon Valley and comprises computer vision and hardware technologists, along with warehousing domain experts. The company's mission is to deliver computer vision and machine learning solutions to address challenges in inventory visibility, accuracy, and quality in the supply chain. Stay up-to-date with the latest advancements in machine learning and computer vision research to integrate relevant findings into the solutions developed at Vimaan.,
Bangalore, IN Posted 2 years ago Front End Engineer As a Front End Engineer at Vimaan, you will play a pivotal role in shaping the user experience of our innovative products and contributing to the growth of our dynamic startup. You will work closely with our cross-functional teams, including but limiting to back-end engineers, application engineers, product managers, to build visually stunning and highly responsive web applications. Front End Engineer Key Responsibilities – Collaborate with our product and design teams to develop user-friendly and visually appealing web applications. – Write clean, efficient, and maintainable code using Angular, HTML, and/or CSS. – Implement responsive design principles to ensure seamless user experiences across various devices and screen sizes. – Optimize web applications for performance and ensure they meet the highest standards of quality and security. – Work closely with back-end engineers to integrate front-end components with our server-side infrastructure. – Stay up-to-date with the latest industry trends and best practices in front-end development. – Participate in code reviews and provide constructive feedback to team members. – Actively contribute to a culture of innovation and continuous improvement. – Upskill, learn and contribute to backend stack as well. Front End Engineer Qualifications – Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). – Strong proficiency in Angular 11 and above, HTML, and CSS. – Experience building responsive web applications and implementing user interfaces that delight users. – Knowledge of front-end development tools and libraries. – Strong problem-solving skills and attention to detail. – Excellent communication and teamwork skills. – Self-motivated with a passion for learning and keeping up with industry trends. – Experience in a startup or fast-paced environment is a plus. – Drive to upskill self with backend and other relevant technologies
Bengaluru, India Posted 3 years ago Data Analyst Vimaan is seeking a talented business intelligence and data analyst to define, implement, and continuously improve processes and tools and be the operations partner with AI/ML development teams and field applications teams. Data Analyst Responsibilities Work with Computer Vision, Software Development, Applications Engineering and Field Ops to continuously improve data gathering, processing and analysis systems. Assist in the design, implementation, and validation of KPIs / OKRs to track health of multi-tenant customer operations using dashboards and visualization tools. Continuous monitoring and improvement of the daily production data pipeline Assist department leads as required on projects involving application of automation technologies to department processes. Partner with operations, field engineering and analysts to model capacity, throughput, line balancing at various customer sites Establish a rhythm of the data pipeline, measure, monitor and improve the consistency, quality, and accuracy using analytical tools Assist teams with root cause analysis, corrective and preventive action planning and implementation, data-based decision making to address development challenges in the product and systemic variability encountered in operations. Data Analyst Qualifications Bachelor’s degree in applicable field (e.g., Business Intelligence, Computer Science, Computer Information Systems, Operations Research, Industrial Engineering, Mathematics) 2-4 years related experience such as data extraction and analytics, data quality, and database relational structures. Strong knowledge of Structured Query Language (SQL). Outstanding analytical and problem-solving skills. Strong Hands-on experience on report automation tools like Power BI, Tableau, or any other data visualization tool. Advanced Excel skills, including formulas, pivot table design and macros 1 – 2 years of experience leading or partnering with a team to provide 24×7 online support to clients. Good to have programming knowledge on Python and Python based libraries for Data Analysis. Self-starter, hands-on and possess a can-do attitude Enthusiasm to dive in and provide creative solutions to complex problems. Excellent problem-solving, organizational, communication, and cross-functional teamwork skills This role is in Bangalore, India and will require collaboration with teams across the USA.