3 Ml Service Jobs

It&aposs fun to work in a company where people truly BELIEVE in what they are doing! We&aposre committed to bringing passion and customer focus to the business. Azure Architect Fractal is one of the most prominent players in the Artificial Intelligence space. Fractals mission is to power every human decision in the enterprise and uses the power of AI to help the worlds most admired Fortune 500 companies. Fractals products include Qure.ai to assist radiologists make better diagnostic decisions, Cuddle.ai to assists CEOs and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions and Eugenie.ai to find anomalies in high velocity data. Fractal has consistently been rated as Indias best companies to work for, by The Great Place to Work Institute. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India&aposs best companies to work for, by The Great Place to Work Institute, featured as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020 & Specialized Insights Service Providers Wave 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant for data & analytics by Gartner . Role Brief: If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Senior Data Engineer (Azure), you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services. Responsibilities Be an integral part of large-scale client business development and delivery engagements Develop the software and systems needed for end-to-end execution on large projects Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions Build the knowledge base required to deliver increasingly complex technology projects Qualifications & Experience A bachelors degree in Computer Science or related field with 5-10 years of technology experience Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space Software development experience using: Object-oriented languages (e.g., Python, PySpark,) and frameworks Expertise in relational and dimensional modelling, including big data technologies Exposure across all the SDLC process, including testing and deployment Expertise in Microsoft Azure is mandatory including components like Azure DataBricks Azure Data Factory, Azure Data Lake Storage, Azure SQL, HD Insights, ML Service etc. Good knowledge of Python and Spark are required Good understanding of how to enable analytics using cloud technology and ML Ops Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure) Characteristics of a forward thinker and self-starter If you like wild growth and working with happy, enthusiastic over-achievers, you&aposll enjoy your career with us! Not the right fit Let us know you&aposre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

As a Senior Data Engineer (Azure) at Fractal, you will be an integral part of large-scale client business development and delivery engagements. You will have the opportunity to develop the software and systems needed for end-to-end execution on large projects, working across all phases of SDLC and utilizing Software Engineering principles to build scaled solutions. Your role will involve building the knowledge base required to deliver increasingly complex technology projects. To be successful in this role, you should hold a bachelor's degree in Computer Science or a related field with 5-10 years of technology experience. You should have strong experience in System Integration, Application Development, or Data-Warehouse projects, across technologies used in the enterprise space. Your software development experience should include working with object-oriented languages such as Python, PySpark, and frameworks. You should also have expertise in relational and dimensional modeling, including big data technologies. Expertise in Microsoft Azure is mandatory for this role, including components like Azure DataBricks, Azure Data Factory, Azure Data Lake Storage, Azure SQL, HD Insights, and ML Service. Proficiency in Python and Spark is required, along with a good understanding of enabling analytics using cloud technology and ML Ops. Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus. You should have a proven track record of keeping existing technical skills up-to-date and developing new ones to contribute effectively to deep architecture discussions around systems and applications in the cloud (Azure). If you are an extraordinary developer who loves to push the boundaries to solve complex business problems using creative solutions, and if you possess the characteristics of a forward thinker and self-starter, then this role at Fractal is the perfect opportunity for you. Join us in working with happy, enthusiastic over-achievers and experience wild growth in your career. If this opportunity is not the right fit for you currently, you can express your interest in future opportunities by clicking on "Introduce Yourself" in the top-right corner of the page or creating an account to set up email alerts for new job postings that align with your interests.,

As an Azure Architect at Fractal, you will be part of a dynamic team in the Artificial Intelligence space dedicated to empowering human decision-making in the enterprise. You will contribute to the development and delivery of innovative solutions that assist Fortune 500 companies in making strategic and tactical decisions. Fractal is renowned for its cutting-edge products such as Qure.ai, Cuddle.ai, Theremin.ai, and Eugenie.ai, which leverage AI to drive business success. Joining our Technology team, you will play a pivotal role in designing, building, and maintaining technology services for our global clientele. Your responsibilities will include actively participating in client engagements, developing end-to-end solutions for large projects, and utilizing Software Engineering principles to deliver scalable solutions. You will be instrumental in enhancing our technology capabilities to ensure successful project delivery. To excel in this role, you should hold a bachelor's degree in Computer Science or a related field and possess 5-10 years of experience in technology. Your expertise should span System Integration, Application Development, and Data-Warehouse projects, encompassing a variety of enterprise technologies. Proficiency in object-oriented languages like Python and PySpark, as well as relational and dimensional modeling, is essential. Additionally, a strong command of Microsoft Azure components such as Azure DataBricks, Azure Data Factory, and Azure SQL is mandatory. We are seeking individuals with a forward-thinking mindset and a proactive approach to problem-solving. If you are passionate about leveraging cloud technology and machine learning to drive business innovation, and if you thrive in a collaborative environment with like-minded professionals, we invite you to explore a rewarding career at Fractal. If you are ready to embrace challenges, foster growth, and collaborate with a team of high-performing individuals, we look forward to discussing how you can contribute to our mission of transforming decision-making processes with AI technology. Join us on this exciting journey towards shaping the future of enterprise decision-making!,