Ph3Senior Data Scientist - AWS Professional Services /h3 pAWS 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. /p pExcited 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? /p pAt 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. /p pAWS 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. /p pIf 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. /p h3Key job responsibilities /h3 pA 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. /p ul liUnderstand 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. /li liAssist 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. /li liUse Deep Learning frameworks like MXNet, Caffe2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. /li liUse SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. /li liWork with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. /li liWork with our Professional Services DevOps consultants to help our internal customers operationalize models after they are built. /li liAssist internal customers with identifying model drift and retraining models. /li liResearch and implement novel ML and DL approaches, including using FPGA. /li /ul pThis role is open for Mumbai/Pune/Bangalore/Chennai/Hyderabad/Delhi/Pune. /p h3About the team /h3 h3Diverse Experiences /h3 pAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, 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. /p h3Why AWS? /h3 pAmazon 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. /p h3Inclusive Team Culture /h3 pHere at AWS, it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. /p h3Mentorship Career Growth /h3 pWe’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 professional. /p h3Work/Life Balance /h3 pWe 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. /p h3Basic Qualifications /h3 ul li10+ years of professional or military experience, including a Bachelor's degree. /li li7+ years managing complex, large-scale projects with internal or external customers. /li liAssist 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. /li liSkilled in using Deep Learning frameworks (MXNet, Caffe2, TensorFlow, Theano, CNTK, Keras) and ML tools (SparkML, Amazon Machine Learning) to build models for internal customers. /li /ul h3Preferred Qualifications /h3 ul li10+ years of IT platform implementation in a technical and analytical role experience. /li liExperience in consulting, design and implementation of serverless distributed solutions. /li liExperienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. /li liExperienced as a technical specialist in design and architecture, with expertise in cloud‑based solutions (AWS or equivalent), systems, networks, and operating systems. /li /ul pOur 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /p pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p /p #J-18808-Ljbffr