Data Transformation Architect

Talworx is an emerging recruitment consulting and service firm we are hiring for our client which provides governments businesses and individuals with market data expertise and technology solutions for confident decision-making Our services span from global energy solutions to sustainable finance solutions From helping our customers perform investment analysis to guiding them through sustainability and energy transition across supply chains our solutions help unlock new opportunities and solve challenges Location Hybrid work from office from nearest client branch Preferrably from Hyderabad Bangalore Gurgaon The Team You will be part of a rapidly growing organization joining the team of highly motivated and professional Data Scientists and Machine Learning Engineers within Market Intelligence division Market Intelligence provides financial and industry data research news and analytics to investment professionals government agencies corporations and universities worldwide We integrate news comprehensive market and sector-specific data and analytics into a variety of tools to help clients track performance generate alpha identify investment ideas understand competitive and industry dynamics perform valuations and assess credit risk The Impact We are looking for candidates that are passionate to architect build scale and deploy Machine Learning Models and their associated Software Technology components that provide timely and essential intelligence to our disparate array of customers across the globe What s in it for you We provide a highly inclusive work environment where in you can bring your whole self to work to assist us in achieving its mission of being one of the leading providers of the highest quality risk evaluations and analytical information to the world s financial markets As an integral part of our team you will be working on cutting edge state-of-the-art technology stack In this role you will work on multiple data science projects in collaboration with internal and external project owners on the product commercial and data team You will be responsible for providing machine learning engineers support create data pipeline for modeling scale models develop APIs to help move machine learning models in production You will collaborate with the data scientists and production-oriented software engineers Responsibilities Responsibilities Construct machine learning lifecycle management including data collection normalization and standardization within a data pipeline construction Architect technology components and build applications and interfaces for customer s consumption Experiment develop and productionize high quality machine learning services and platforms to make huge technology and business impact Develop hosting platform for machine learning models Create pipelines to query and retrieve and update data for existing applications to keep them updated Supervise the scaling and management of the machine learning modeling ecosystem Work alongside data scientists and product owners to improve aspects of their lines of business through machine learning What We re Looking For Extensive problem-solving ability in designing complex data and cloud architectures Must possess strong hands on experience with Spark AWS Bigdata Hadoop Python and pyspark Possess excellent verbal written communication skills Expertise in application data and infrastructure architecture disciplines Advanced knowledge of architecture and design across all systems Proficiency in multiple machine learning programming languages including Python PySpark or Scala 5 years of experience with big-data technologies such as Hadoop Spark SparkML etc Able to understand various data structures and common methods in data transformation Knowledge of industry-wide technology trends and best practices Ability to work in large collaborative teams to achieve organizational goals Passionate about building an innovative culture Familiarity with MLOps and ModelOps Docker Kubernetes AWS Python Familiarity with or clear interest in learning about financial Markets