Machine Learning Engineer, AllCloud
More information about location
Cloud enablement and transformation services
Be an early applicant
Cloud enablement and transformation services
201-500 employees
Be an early applicant
More information about location
201-500 employees
Company mission
To become the best cloud solutions provider to work for and with.
Role
Who you are
- 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
- AWS Machine Learning Specialty (Strongly Preferred)
- AWS Solutions Architect - Associate (Strongly Preferred)
What the job involves
- 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
- 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
Our take
Companies of all shapes and sizes utilise cloud computing in order to carry out mission-critical functions of their businesses. However, navigating this relatively new computing paradigm in an efficient and secure fashion isn’t always that easy.
AllCloud offers professional services to help its clients use the tools for cloud enablement and transformation. The company importantly has deep partnerships with major cloud providers like AWS, Salesforce and Snowflake giving it unparalleled expertise and resources to deal with the vast majority of cloud challenges.
The company is focused on growing its presence in new geographies as well as expanding its suite of cloud services. One major plank of this approach is an aggressive M&A strategy which has led to acquisitions of companies like Integress, adding data analytics capabilities to its range of services.
Integrating these new acquisitions in order to elevate AllCloud’s total value proposition will be difficult. However, the impressive technology team that the company has put together combined with its growing revenue means it is well positioned for success moving forward.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2019
$18m
LATE VC
Jul 2018
$7m
CONVERTIBLE
Total funding: $34m
Company benefits
- Company events with our international team
- Work-Life-Balance & trust working hours
- Fair pay and bonuses
- Regular (completely optional) after-work team events such as playing ping-pong, dinners, and drinks
- Support for education and training to further develop your profession together with an internal AWS Trainer
- Work with cutting edge technologies
- High-end equipment
- A creative atmosphere, which makes it possible to pursue your own ideas
Company HQ
Union Station, Denver, CO
Leadership
Lahav Savir
(CTO & Co-Founder)Prior to AllCloud, founded Emind in 2008, one of the first AWS partners in Israel.
Yosi Frenkel
(EVP Business Development & Co-Founder)Worked in investment and finance at the Israel Ministry of Finance and IDB, and in corporate development at M-Systems and Sandisk. Also served as VP Global Corporate Development at Ness Technologies
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