Specialist Solutions Architect

Specialist Solutions Architect

Amazon
Gurgaon / Gurugram
Not Specified
Not Specified

Job Description


Job Description :
· Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service (AWS) Come join us!
At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com’s recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfilment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fuelled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage.
Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call.
Amazon Internet Services Private Limited (AISPL), India is looking for a Machine Learning Solutions Architect (ML SA), who will be the Subject Matter Expert (SME) for helping Public Sector customers in India, designing solutions that leverage our ML services. As part of AISPL team, you will work closely with customers in one or more industry verticals (Governments, Academic, Research, Health Care, Life Sciences, etc.) to enable large-scale use cases, design ML pipelines, and drive the adoption of AWS for the AI/ML platforms in India. You will interact with other SAs in the field, providing guidance on their customer engagements to ensure better CX and compliance with global AWS standards, practices and policies, and you will develop white papers, blogs, reference implementations, and presentations to enable customers in India to fully leverage AI/ML on AWS. Additionally, as the voice of the customer, you will work closely with the service teams, and submit product feature requests to drive the platform forward.
The candidate will have the technical depth and domain experience to easily communicate the benefits of machine learning platforms and frameworks in the AWS cloud to IT architects, engineering teams and senior management. The ideal candidate will have a demonstrated ability to think strategically and long-term about the needs of complex organisations. The ideal candidate will also be deeply familiar with complex legacy IT environments, managed IT infrastructure services and applications, and have a background that enables them to create scalable programs that apply holistic approaches across different organizations to solve common problems.
Roles and Responsibilities
· Working with customers’ development and data science teams in India to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML Services including SageMaker, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Polly, Amazon Forecast, Amazon Personalize, and the other AI/ML services.
· Engage in senior level customer meetings to drive AWS AI/ML adoption in India. Diving into customer’s challenges and executing strategies on how our services can help address and resolve these challenges.
· Partner with SAs, Business Development and the AI/ML Service teams in India to accelerate customer adoption in India for Amazon SageMaker.
· Thought Leadership – Evangelize AWS ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
· Act as a technical liaison between customers and the AWS SageMaker services teams in India to provide customer driven product improvement feedback.
· Develop and support an AWS internal community of ML related subject matter experts in India.
For the right candidate, the location can be anywhere within India and travel is part of role.
Basic Qualifications :
· 3+ years of experience in design/implementation/consulting for Machine Learning/AI/Deep Learning solutions
· 1+ years of experience with one or more Deep Learning frameworks such as Apache MXNet, TensorFlow, Caffe2, Keras, Microsoft Cognitive Toolkit, Torch and Theano
· 5+ years professional experience in software development in languages related to ML like Python or R. Experience working with RESTful API and general service-oriented architectures.
· 3+ years of experience in technical architecture, design, deployment and operations for AI platforms, standards, protocols and devices
Preferred Qualifications :
· Graduate degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.)
· 5+ years of industry experience in predictive modeling and analysis
· Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relationships
· Consulting experience and track record of helping customers with their AI needs
· Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences ·
· Experience with AWS services related to AI/ML, particularly Amazon SageMaker, AWS Glue, AWS Lambda, Amazon S3, Amazon EC2 Container Service, Greengrass etc.
· Knowledge of SparkML
· Able to write production level code, which is well-written and explainable
· Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
· Experience working with GPUs to develop models
· Experience handling terabyte datasets
· Track record of diving into data to discover hidden patterns
· Familiarity with using data visualization tools · Knowledge and experience of writing and tuning SQL
· Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format
· Experience giving public presentations
· Experience in Public Sector in India is preferred but not mandatory
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

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