Machine Learning Engineer

🔥 1 minute ago

🇷🇴 Romania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AllCloud

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

AllCloud is a cloud consulting company that provides tailored AWS and Salesforce solutions to optimize operations and accelerate innovation for businesses. They specialize in cloud platforms, data and AI, and managed services, helping companies in various industries including financial services, retail, and technology. As a recognized AWS Premier Consulting Partner and Salesforce Consulting Partner, AllCloud offers expertise in cloud transformation, Customer 360 insights, and scalable cloud infrastructures.

📋 Description

• Deliver AI/ML projects on AWS using native services and custom-built models • Support cloud migrations • Optimize customers’ databases and data flows • Enrich operational and functional data flows with AI/ML algorithms • Design, build, and operate infrastructure for data extraction, transformation, and loading using SQL, AWS migration, and big data technologies • Optimize cloud RDBMS engines and resolve customer security, performance, and operational issues • Design, build, and operate large, complex data lakes • Optimize ingestion, storage, processing, and retrieval of diverse data types, including near-real-time events, IoT, images, audio, video, and documents • Use Jupyter Notebooks to build and deploy ML models • Leverage AWS AI/ML pre-built solutions • Keep customer data separated and secure to meet compliance and regulatory requirements • Collaborate with solutions architects, project managers, data scientists, executives, product, data, software development, design teams, customers, and internal stakeholders • Support data-related technical issues, data infrastructure, and business needs

🎯 Requirements

• 3+ years of experience in a Data Scientist/Machine Learning Engineer role • Bachelor's degree 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 ML models for classification, scoring, and more • Experience with Deep Learning Neural Networks, including Convolution and NLP • Experience with AWS AI/ML Services • Experience with Python coding • Advanced SQL knowledge and relational database experience, including query authoring • Experience building and optimizing big data pipelines, architectures, and data sets • Strong analytic skills related to unstructured datasets • Experience building 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

🏖️ Benefits

• Learning and personal development opportunities • Work with leaders who promote learning and personal development • Equal Opportunity Employer