Data Scientist – Aws Professional Services (Karnataka)

Job Description

DESCRIPTION AWS Sales Marketing and Global Services SMGS is responsible for driving revenue adoption and growth from the largest and fastest growing small- and 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 You ll 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 models Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence AI Eager to learn from many different enterprise s use cases of AWS ML and DL Thrilled to be key part of Amazon who has been investing in Machine Learning for decades pioneering and shaping the world s 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 we d 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 Key job 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 customer s 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 hasn t followed a traditional path or includes alternative experiences don t let it stop you from applying Why AWS Amazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform We pioneered cloud computing and never stopped innovating that s 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 – We re continuously raising our performance bar as we strive to become Earth s Best Employer That s why you ll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded skilled 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 there s nothing we can t 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 https amazon jobs content en how-we-hire accommodations for more information If the country region you re applying in isn t listed please contact your Recruiting Partner