Allcloud AI/ML Senior Presales Solutions Architect 

Israel 

655738712

Responsibilities

• Support Account Executives to Design Prospect Solutions.
• Estimate Level of Effort for Proposed Solutions and Author Technical Aspects of SOWs to submit proposals to Customers.
• Design solutions that allow us to keep our customers’ data separate and secure to meet compliance and regulatory requirements.
• Design, Build, and Operate the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, cloud (mainly AWS) migration, and ‘big data’ technologies.
• Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems.
• Design, Build, and Operate large, complex data lakes that meet functional / non-functional business requirements.
• Optimize the ingestion, storage, processing, and retrieval of various data types, from near real-time events and IoT to unstructured data such as images, audio, video, documents, and others.
• Use Jupyter Notebooks to build and deploy ML models.
• Leverage AWS AI/ML pre-built solutions to accelerate customer work.
• Work with customers and internal stakeholders, including the Executive, Product, Data, Software Development, and Design teams, to assist with data-related technical issues and support their data infrastructure and business needs.
• Manage the Delivery Solutions Architects.
• Be a point of contact for Escalations from the Delivery Solutions Architects and Enable a Process to ensure their work and commitments are delivered as intended.
• Understand the customer’s data & analytics requirements and translate them into system / technical requirements.
• Provide exceptional AWS technical design and thought leadership.
• Lead technical workshops and advise customers on architectural and strategic data decisions.
• Ensure success in designing, building, and migrating data and analytics services on the AWS platform.
• Educate customers on best practices to ensure their solutions are designed for successful deployment in the cloud.
• Work with other AllCloud teams to ensure quality and customer success
• Capture and share knowledge with AllCloud’s broader technical experts community
• Provide pre-sales architecture support to drive sales and complete cloud architectural activities and engagements.
• Employees and direct managers will work to outline a personal development plan for the calendar year, identifying specific focus areas and personal development objectives that must be met.

• We seek a candidate with 5+ years of experience in a Data Scientist/Machine Learning Engineer role who has attained a Bachelor's (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Spark, ElasticSearch, Hadoop, Kafka, Kinesis, etc.
• Experience with relational SQL and NoSQL databases, such as MySQL, Postgres, DynamoDB, or Cassandra.
• Experience with AWS cloud services: EC2, RDS, EMR, Redshift etc.
• Experience with functional and scripting languages: Python, Java, Scala, etc.
• Experience with various ML models for classification, scoring, and more.
• Experience with Deep Learning Neural Networks (Convolution, NLP etc.).
• Experience with AWS AI/ML Services.
• Experience with Python coding.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with various databases.
• Experience building and optimizing big data pipelines, architectures, and data sets.
• Strong analytic skills related to working with unstructured datasets.
• A strong understanding of AWS Infrastructure, including EC2, Lambda, VPC, EKS, S3, and others, is required to support data projects.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Experience supporting and working with external customers in a dynamic environment.

Certifications

• AWS Machine Learning Specialty (Strongly Preferred)
• AWS Solutions Architect - Associate (Strongly Preferred)
• AWS Solutions Architect - Professional (Preferred)