Job
Description
Description
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing smalland mid-market accounts to enterprise-level customers including public sector, AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud, Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) modelsWant to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)Eager to learn from many different enterprises use cases of AWS ML and DLThrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the worlds AI technology At AWS ProServe India LLP (ProServe India), we are helping large enterprises build ML and DL models on the AWS Cloud We are applying predictive technology to large volumes of data and against a wide spectrum of problems Our Professional Services organization works together with our internal customers to address business needs of AWS customers using AI, AWS Professional Services is a unique consulting team in ProServe India We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers If you have experience with AI, including building ML or DL models, wed like to have you join our team You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers, If you do not live in a market where we have an open Data Scientist position, please feel free to apply Our Data Scientists can live in any location where we have a Professional Service office, Responsibilities A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI Major responsibilities include: Understand the internal customers business need and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances , Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization, Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models, Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models, Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data, Work with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built, Assist internal customers with identifying model drift and retraining models, Research and implement novel ML and DL approaches, including using FPGA, This role is open for Mumbai / Pune / Bangalore / Chennai / Hyderabad / Delhi / Pune , About The Team Diverse Experiences: AWS values diverse experiences Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying, Why AWSAmazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses, Inclusive Team Culture AWS values curiosity and connection Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique Our inclusion events foster stronger, more collaborative teams Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do, Mentorship & Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional, Work/Life Balance We value work-life harmony Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud, Basic Qualifications 7+ years of professional or military experience, including a Bachelor's degree, 7+ years managing complex, large-scale projects with internal or external customers, Assist internal customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization, Skilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers, Preferred Qualifications 7+ years of IT platform implementation in a technical and analytical role experience, Experience in consulting, design and implementation of serverless distributed solutions, Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects, Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks, and operating systems, Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit jobs / content / en / how-we-hire / accommodations for
