All Cloud BSD is hiring: Machine Learning Engineer in New York
All Cloud BSD, New York, NY, United States
Description
Machine Learning Engineer
Location: US / Canada (Eastern Time) - Home based
Job Type: Full-time, Permanent
About AllCloud
AllCloud is a global professional services company providing organizations with cloud enablement and transformation. Through a unique combination of expertise and agility, AllCloud accelerates cloud innovation and helps organizations fully unlock the value received from cloud technology and data and analytics.
As an AWS Premier Consulting Partner and audited MSP, a Salesforce Platinum Partner and Snowflake Premier Partner, AllCloud helps clients connect their front office and back office by building a new operating model that allows them to harness the benefits of cloud technology. AllCloud is supported by a robust ecosystem of technology partners, proven methodologies, and well-documented best practices. Thereby elevating customers by achieving operational excellence on the cloud, within a secure environment, at every milestone of the journey to becoming cloud first.
With years of experience and a portfolio of thousands of successful cloud deployments, AllCloud serves clients across the globe. AllCloud has offices in Israel, Europe and North America
Job Summary
We are looking for a savvy Machine Learning/Data Engineer to join our growing team of data experts. The hire will be primarily responsible for AI/ML projects on AWS leveraging native services as well as custom built models to deliver predictive insights to our customers. In addition, this hire will also support migrating to the cloud, optimizing our customers’ databases and data flows, and enriching our operational and functional data flow with AI/ML algorithms.
The ideal candidate is confident in data in any form or scale and happy to learn and teach new data tools. The candidate enjoys optimizing data systems and building them from the ground up. The Machine Learning Engineer will support new systems designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers’ data architecture to support our next generation of products and data initiatives, and machine learning systems.
Responsibilities
Keep our customers’ data separated and secure to meet compliance and regulations requirements.
Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 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 various data types ingestion, storage, processing, and retrieval from near real-time events and IoT to unstructured data as images, audio, video and documents, and in between.
Use Jupyter Notebooks to build and deploy ML models.
Leverage AWS AI/ML pre built solutions to accelerate work for customers
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.
Requirements
We seek a candidate with 3+ 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 or Postgres and 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) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Strong analytic skills related to working with unstructured datasets.
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)
Why work for us?
Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development.
AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.
#J-18808-Ljbffr
In Summary: AllCloud is looking for a savvy Machine Learning/Data Engineer to join our growing team of data experts . The hire will be primarily responsible for AI/ML projects on AWS leveraging native services as well as custom built models to deliver predictive insights to our customers . The ideal candidate is confident in data in any form or scale and happy to learn and teach new data tools .
En Español: AllCloud es una compañía de servicios profesionales globales que proporciona a las organizaciones habilitación y transformación en la nube. A través de una combinación única de experiencia y agilidad, AllCloud acelera la innovación en la Nube y ayuda a las empresas a desbloquear completamente el valor recibido de la tecnología cloud y los datos y análisis. Como socio consultor AWS Premier y MSP auditado, un socio Salesforce Platinum y Snowflake Prime Partner, Allcloud ayuda a los clientes a conectar su oficina delantera y back office mediante la construcción de un nuevo modelo operativo que les permite aprovechar los beneficios de las tecnologías Cloud Learning. Además, este alquiler también apoyará la migración a la nube, optimizando las bases de datos y los flujos de datos de nuestros clientes y enriqueciendo nuestro flujo de datos operativo y funcional con algoritmos AI / ML. El candidato ideal tiene confianza en los datos en cualquier forma o escala y está contento de aprender y enseñar nuevas herramientas de datos. El candidato adecuado se entusiasmará con la perspectiva de optimizar o rediseñar a nuestros clientes arquitectura de datos para apoyar nuestra próxima generación de productos e iniciativas de datos y sistemas de aprendizaje automático. Responsabilidades Mantener los datos separados y seguros para satisfacer las necesidades de cumplimiento y regulaciones. Diseñar, construir y operar la infraestructura necesaria para la extracción óptima, transformación y carga de datos desde una amplia variedad de fuentes de datos utilizando migración SQL y nube (principalmente AWS) y tecnologías big data. Optimizar varios motores RDBMS en la nube y resolver problemas de seguridad, rendimiento y operación de los clientes. Diseñamos, construimos y operamos grandes lagos de datos complejos que satisfagan requisitos funcionales / no-funcionales tipos de negocio. Optimizar la ingestación de datos, almacenamiento, búsqueda y recuperación de información de diversos eventos en tiempo real como datos estructurados prefiriendo al trabajo de los equipos de estudio de Datos, documentos ejecutivos e ingenieros electrónicos y software internos. También deben tener experiencia en el uso de los siguientes software/herramientas: Experiencia con las herramientas de Big Data: Spark, ElasticSearch, Hadoop, Kafka, Kinesis etc. Experiencia en redes neurales de aprendizaje profundo (Convolution, NLP, etc.) Experiencias con bases de datos SQL y NoSQL relacionales, como MySQL o Postgres y DynamoDB o Cassandra.
Machine Learning Engineer
Location: US / Canada (Eastern Time) - Home based
Job Type: Full-time, Permanent
About AllCloud
AllCloud is a global professional services company providing organizations with cloud enablement and transformation. Through a unique combination of expertise and agility, AllCloud accelerates cloud innovation and helps organizations fully unlock the value received from cloud technology and data and analytics.
As an AWS Premier Consulting Partner and audited MSP, a Salesforce Platinum Partner and Snowflake Premier Partner, AllCloud helps clients connect their front office and back office by building a new operating model that allows them to harness the benefits of cloud technology. AllCloud is supported by a robust ecosystem of technology partners, proven methodologies, and well-documented best practices. Thereby elevating customers by achieving operational excellence on the cloud, within a secure environment, at every milestone of the journey to becoming cloud first.
With years of experience and a portfolio of thousands of successful cloud deployments, AllCloud serves clients across the globe. AllCloud has offices in Israel, Europe and North America
Job Summary
We are looking for a savvy Machine Learning/Data Engineer to join our growing team of data experts. The hire will be primarily responsible for AI/ML projects on AWS leveraging native services as well as custom built models to deliver predictive insights to our customers. In addition, this hire will also support migrating to the cloud, optimizing our customers’ databases and data flows, and enriching our operational and functional data flow with AI/ML algorithms.
The ideal candidate is confident in data in any form or scale and happy to learn and teach new data tools. The candidate enjoys optimizing data systems and building them from the ground up. The Machine Learning Engineer will support new systems designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers’ data architecture to support our next generation of products and data initiatives, and machine learning systems.
Responsibilities
Keep our customers’ data separated and secure to meet compliance and regulations requirements.
Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 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 various data types ingestion, storage, processing, and retrieval from near real-time events and IoT to unstructured data as images, audio, video and documents, and in between.
Use Jupyter Notebooks to build and deploy ML models.
Leverage AWS AI/ML pre built solutions to accelerate work for customers
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.
Requirements
We seek a candidate with 3+ 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 or Postgres and 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) as well as working familiarity with a variety of databases.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Strong analytic skills related to working with unstructured datasets.
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)
Why work for us?
Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development.
AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.
#J-18808-Ljbffr
In Summary: AllCloud is looking for a savvy Machine Learning/Data Engineer to join our growing team of data experts . The hire will be primarily responsible for AI/ML projects on AWS leveraging native services as well as custom built models to deliver predictive insights to our customers . The ideal candidate is confident in data in any form or scale and happy to learn and teach new data tools .
En Español: AllCloud es una compañía de servicios profesionales globales que proporciona a las organizaciones habilitación y transformación en la nube. A través de una combinación única de experiencia y agilidad, AllCloud acelera la innovación en la Nube y ayuda a las empresas a desbloquear completamente el valor recibido de la tecnología cloud y los datos y análisis. Como socio consultor AWS Premier y MSP auditado, un socio Salesforce Platinum y Snowflake Prime Partner, Allcloud ayuda a los clientes a conectar su oficina delantera y back office mediante la construcción de un nuevo modelo operativo que les permite aprovechar los beneficios de las tecnologías Cloud Learning. Además, este alquiler también apoyará la migración a la nube, optimizando las bases de datos y los flujos de datos de nuestros clientes y enriqueciendo nuestro flujo de datos operativo y funcional con algoritmos AI / ML. El candidato ideal tiene confianza en los datos en cualquier forma o escala y está contento de aprender y enseñar nuevas herramientas de datos. El candidato adecuado se entusiasmará con la perspectiva de optimizar o rediseñar a nuestros clientes arquitectura de datos para apoyar nuestra próxima generación de productos e iniciativas de datos y sistemas de aprendizaje automático. Responsabilidades Mantener los datos separados y seguros para satisfacer las necesidades de cumplimiento y regulaciones. Diseñar, construir y operar la infraestructura necesaria para la extracción óptima, transformación y carga de datos desde una amplia variedad de fuentes de datos utilizando migración SQL y nube (principalmente AWS) y tecnologías big data. Optimizar varios motores RDBMS en la nube y resolver problemas de seguridad, rendimiento y operación de los clientes. Diseñamos, construimos y operamos grandes lagos de datos complejos que satisfagan requisitos funcionales / no-funcionales tipos de negocio. Optimizar la ingestación de datos, almacenamiento, búsqueda y recuperación de información de diversos eventos en tiempo real como datos estructurados prefiriendo al trabajo de los equipos de estudio de Datos, documentos ejecutivos e ingenieros electrónicos y software internos. También deben tener experiencia en el uso de los siguientes software/herramientas: Experiencia con las herramientas de Big Data: Spark, ElasticSearch, Hadoop, Kafka, Kinesis etc. Experiencia en redes neurales de aprendizaje profundo (Convolution, NLP, etc.) Experiencias con bases de datos SQL y NoSQL relacionales, como MySQL o Postgres y DynamoDB o Cassandra.