Machine Learning Manager, AllCloud
More information about location
Cloud enablement & transformation services
Job no longer available
Cloud enablement & transformation services
201-500 employees
Job no longer available
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
- 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
- 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
- Previous Consulting Experience
- 2+ Years as a Manager or Technical Lead
- 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 AWS Non AI Services commonly used in AllCloud Solutions: ECR, EKS, ECS, Lambda, API Gateway, Step Functions, and Cognito
- Experience with relational SQL and NoSQL databases including: (PostgreSQL, MySQL and one of Oracle/SQL Server, DynamoDB, MongoDB or DocumentDB, Neptune)
- Experience with AWS permissions through IAM
- Experience with IAC preferably through CDK or CloudFormation
- Experience with AWS Networking to keep solutions secure and deployed to best practices
- Experience with functional and scripting languages: Python, Java, Scala, etc
- Experience with Vector Databases to include OpenSearch, Pinecone, Kendra, Chroma or others
- Experience with Data Ingestion and Transformation services to include: Kinesis, Kinesis Firehose, DMS, AppFlow, and Glue
- Experience with various ML models for classification, scoring and more
- Experience with Deep Learning Neural Networks (Convolution, NLP etc.)
- Experience designing and supporting a ML Ops process
- Experience with the following AWS AI/ML Services (SageMaker, Textract, Rekognition, Comprehend, Bedrock, Elemental Media Services, Lex, Polly)
- Advanced Python Skills
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- At least one of LangChain or Haystack
- Familiar with common Generative AI problems to include one of the following: RAG, Document Generation, Image Generation, Structured Content Generation
- 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)
- AWS Solutions Architect - Professional (Nice to Have)
What the job involves
- We are looking for a savvy Machine Learning Engineer/Data Science Manager to join our growing team of data experts
- The hire will be primarily responsible for managing and being hands on with 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 Data Analytics and ML Solutions to the cloud to the cloud, optimizing our customers’ databases and data flows, and enriching our operational and functional data flow with AI/ML algorithms
- The Machine Learning Manager will manage teams/support new systems designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists
- Manage a team of Machine Learning Engineers and Data Scientist working on a mixture of Classical AI and Generative AI Projects as well as providing guidance to Data Architects
- Identify and remove project impediments, remediate identified risk items, and facilitate project conflict resolution as necessary
- Work with our client’s business leads to gather project requirements in their language, then work with technical team; business teams to translate into manageable tasks
- 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
- Build and deploy Generative AI Solutions to Production
- 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 to carry out mission-critical functions. However, navigating this relatively new computing paradigm in an efficient and secure fashion isn’t always easy. AllCloud offers professional services to help its clients use tools for cloud enablement and transformation.
The company boasts 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. AllCloud has focussed on growing its geographic footprint and expanding its suite of cloud services, for example with acquisitions of companies like Integress.
Integrating these new acquisitions continues to enhance AllCloud’s total value proposition. And, with growing revenue under its belt, the company is well positioned to find further success. A recent move has been to strengthen its relationship with AWS towards supporting companies to embrace practical generative AI.
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 of Corporate 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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