6 Endtoend Solutions Jobs

As an experienced web development expert in our team, your role will involve identifying specific client needs and providing end-to-end comprehensive solutions. You will collaborate closely with our web services team to develop appropriate services and have the ability to train freshers. Your responsibilities will encompass domain, server, and e-mail management, as well as handling customer relations and managing promotions and advertisements on platforms such as Google, MSN, Yahoo, etc. If you hold a BE/BTech/MBA qualification and have the required expertise, we encourage you to apply for this position.,

As a valuable member of our team, you will utilize your technical expertise and problem-solving skills to collaborate with clients and translate intricate concepts into comprehensive solutions. Your primary responsibility will involve working closely with clients to understand their needs and requirements, and then developing end-to-end solutions that effectively address their challenges. You will play a crucial role in transforming our clients" businesses by leveraging your passion for problem-solving and your proficiency in various technical domains. By effectively communicating with clients and understanding their unique situations, you will be able to craft innovative solutions that drive positive outcomes. Your impact will extend beyond technical prowess, as you will also be integral in building and maintaining strong client relationships. Through your dedication to delivering high-quality solutions and your commitment to exceeding client expectations, you will solidify our reputation as a trusted partner in the industry. In this role, you will have the opportunity to showcase your creativity, innovation, and technical acumen while making a tangible difference in the success of our clients" businesses. Your contributions will be instrumental in driving growth, fostering innovation, and ensuring client satisfaction.,

You will be responsible for developing and maintaining architecture standards, guidelines, and best practices. Your role will involve designing and implementing end-to-end solutions based on requirements from product owners and business stakeholders. This includes developing and designing requirements for web apps, mobile apps, microservices, and their associated ecosystem in consultation with internal departments and subsidiaries. You must utilize best practices for app design, user interface, and overall architecture. Ensuring that all designs are created according to internal development best practices and based on user journeys, wireframes & architectural patterns. You should have at least 5 years of experience designing applications (web & mobile), microservices & APIs, along with proficiency in cloud native technologies such as containers, service mesh, Kubernetes/OpenShift, and virtualization. Additionally, you should have a minimum of 3 years of work experience in Cyber/Information Security. Collaborating with the Information security team is essential to ensure the confidentiality, integrity, and availability of the bank's data assets. A strong all-round knowledge of software engineering, architecture & cyber security is required. You will be expected to have experience with building end-to-end design patterns & solutions that balance user experience, performance, resiliency, reliability, & security. Moreover, experience in integrating applications with surrounding ecosystems & technologies, including mobile apps, microservices, containers/cloud-native technologies, event streams, APIs, message brokers, and more is necessary. A deep understanding of architectural patterns like microservices, APIs & app development (mobile and application) is crucial. You should also possess knowledge of security concepts such as Authentication, Authorization, Encryption, Logging/Monitoring, Application Security (OWASP Top10), Infrastructure Security, Cloud Security & Regulations. Experience with enterprise architecture tools like Enterprise Architect and data modeling tools is preferred. Familiarity with cloud platforms such as OpenShift, Azure, AWS & OCI will be advantageous in this role.,

As a Machine Learning Engineer, you will be leveraging your expertise to contribute towards the development of cutting-edge capabilities within the realm of machine learning. Your responsibilities will encompass various facets of the software development lifecycle for ML solutions, including design, deployment, testing, maintenance, and enhancement. Your primary duties will involve the application of machine learning, deep learning, and signal processing techniques on extensive datasets comprising audio, sensors, images, videos, and text for model development. You will also play a crucial role in architecting large-scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. Collaborating closely with data scientists/analysts, you will support the development of ML data pipelines, platforms, and infrastructure, along with evaluating and validating analyses using statistical methods. Creating microservices and APIs for serving ML models and services, evaluating new machine learning methods, and implementing feature engineering to enhance model performance will be integral aspects of your role. You are expected to possess a strong background and knowledge of recent advancements in machine learning, deep learning, natural language processing, and image/signal/video processing, backed by approximately 5 years of professional experience in real-world applications. In addition, proficiency in programming, familiarity with machine learning libraries such as Tensorflow, Keras, scikit-learn, and pyTorch, exceptional mathematical skills, and the ability to architect and implement end-to-end solutions for accelerating experimentation and model building are crucial requirements. An understanding of a variety of machine learning techniques like clustering, decision tree learning, and artificial neural networks, coupled with the capability to conduct independent and collaborative research, is highly valued. Strong written and verbal communication skills are essential for effective collaboration and articulation of ideas. This role offers a dynamic opportunity to contribute to the advancement of ML capabilities and work on challenging projects in a stimulating environment.,

As a Machine Learning Engineer, you will utilize your expertise to contribute to the development of a world-leading capability in the domain of machine learning. Your responsibilities will involve participating in the design, development, deployment, testing, maintenance, and enhancement of machine learning software solutions. You will be tasked with applying machine learning, deep learning, and signal processing techniques to large datasets such as audio, sensors, images, videos, and text in order to develop models. Additionally, you will be responsible for architecting large-scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. Collaboration with data scientists and analysts to support the development of ML data pipelines, platforms, and infrastructure will be a key aspect of your role. You will also evaluate and validate analysis using statistical methods and present findings in a clear manner to individuals not well-versed in the fields of data science and computer science. Furthermore, you will create microservices and APIs for serving ML models and services, evaluate new machine learning methods for adoption, and conduct feature engineering to enhance model performance. Your background should include knowledge of recent advances in machine learning, deep learning, natural language processing, and image/signal/video processing, with at least 5 years of professional experience in real-world applications. Strong programming skills in languages such as Python, Pytorch, MATLAB, C/C++, and Java, along with familiarity with software engineering concepts like OOP and design patterns, are essential. Proficiency in machine learning libraries such as TensorFlow, Keras, scikit-learn, and PyTorch is required. Additionally, you should possess excellent mathematical abilities, including expertise in accuracy, significance tests, visualization, and advanced probability concepts. Experience in architecting and implementing end-to-end solutions for accelerating experimentation and model building is highly desirable. A working knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and the ability to conduct independent and collaborative research are crucial for success in this role. Strong written and verbal communication skills are also important. Candidates with a B.E./B.Tech./B.S. degree and at least 3 years of experience in machine learning, deep learning, natural language processing, or image/signal processing will be considered. Preferably, candidates with an M.E./M.S./M.Tech./PhD in fields related to Computer Science and experience in machine learning, image and signal processing, or statistics are preferred for this position.,

As a Machine Learning Engineer, you will be applying your expertise to help develop a world-leading capability in the domain of machine learning. Your responsibilities will include contributing to the design, development, deployment, testing, maintenance, and enhancement of machine learning software solutions. You will work on applying machine learning, deep learning, and signal processing techniques on large datasets such as audio, sensors, images, videos, and text to develop models. Additionally, you will be involved in architecting large scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. Collaboration with data scientists and analysts to support the development of ML data pipelines, platforms, and infrastructure will be a key aspect of your role. You will evaluate and validate analyses using statistical methods and present findings in a clear manner to individuals not familiar with data science or computer science. Furthermore, you will create microservices and APIs for serving ML models and services, evaluate new machine learning methods, and perform feature engineering to enhance model performance. The required skills for this role include a background and knowledge of recent advances in machine learning, deep learning, natural language processing, and image/signal/video processing, with around 5 years of professional work experience in real-world applications. Proficiency in programming languages such as Python, Pytorch, MATLAB, C/C++, and Java, along with knowledge of software engineering concepts like OOP and design patterns, is essential. Familiarity with machine learning libraries such as Tensorflow, Keras, scikit-learn, and pyTorch is also required. A strong mathematical background with skills in accuracy, significance tests, visualization, and advanced probability concepts is necessary. You should be capable of architecting and implementing end-to-end solutions for accelerating experimentation and model building, as well as possessing knowledge of various machine learning techniques such as clustering, decision tree learning, and artificial neural networks. The ability to conduct both independent and collaborative research, along with excellent written and spoken communication skills, is crucial. Preferred qualifications include a B.E./B.Tech/B.S. degree with 3+ years of experience in the relevant fields or an M.E./M.S./M.Tech/PhD, preferably in Computer Science, with experience in machine learning, image and signal processing, or statistics.,