Machine Learning Engineer
Machine Learning/Data Engineer at AllCloud delivering AI/ML projects for clients on AWS: building data pipelines and data lakes, deploying ML models (Jupyter, AWS AI/ML services), and optimizing cloud databases. Requires 3+ years in a data/ML role with Python, SQL, Spark, and AWS services.
- Compensation
- Not disclosed
- Location
- București, Municipiul București
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ml / AI
- Posted
Skills
Must have
- 3+ years of experience in a Data Scientist/Machine Learning Engineer role
- Bachelor's degree (Graduate preferred) in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field
- Experience with big data tools: Spark, ElasticSearch, Hadoop, Kafka, Kinesis
- Experience with relational SQL and NoSQL databases such as MySQL, Postgres, DynamoDB, or Cassandra
- Experience with AWS cloud services: EC2, RDS, EMR, Redshift
- Experience with functional and scripting languages: Python, Java, Scala
- Experience with various ML models for classification, scoring and more
- Experience with Deep Learning Neural Networks (Convolution, NLP)
- Experience with AWS AI/ML Services
- Experience with Python coding
- Advanced working SQL knowledge and experience with relational databases and query authoring
- 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
Nice to have
- AWS Machine Learning Specialty certification
- AWS Solutions Architect - Associate certification
Full description
About AllCloud
AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.
AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.
AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io
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 system 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.
How You'll Make Your Mark:
- 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.