Description
Description
We are looking for a ElasticSearch engineer with significant experience working with large ElasticSearch clusters. This role will be responsible for resolving production issues, cluster performance optimization, capacity planning, enhancing monitoring capabilities for early issue detection, driving operational readiness and ongoing maintenance.
SPACE44 is a Service Provider for Software Development and builds offshore teams for customers in Europe and the USA. Although working distributed it is SPACE44’s philosophy to feel you are onboarded in a team with a strong team culture and support. We are a young team without hierarchies and dress codes - be yourself - authentic and honest - working like friends.
This client is based South of Los Angeles and building a new Social Media platform. The first beta version launching soon is trying to challenge Facebook and other new Social Media. We are support this ambitious Startup with a strong Remote Team.
Responsibilities
Design and implement ELK (ElasticSearch, Logstash and Kibana) stack solutions
Create and manage Elasticsearch Clusters on premise.
Fine tune bulk load process.
Provide Elastic Search tuning/optimizing based on application needs.
Be familiar working with .Net tech stack
Create Dashboard on KPIs
Contribute to team design discussions with detailed technical
information
Develop code with quality, scalability and extensibility
Provide work breakdown and estimates for complex software
development tasks
Identify strategic/tactical solutions and provides risk assessments
and recommendations
Requirements
5+ years as a Data Engineer
2+ years of ElasticSearch experience in production, in medium to large clusters
Deep working knowledge of and proven experience with Elasticsearch and Kibana
Experience building ElasticCluster
Experience configuring and performance tuning large clusters
Strong understanding of Elasticsearch Full Text Content Indexing and Search
Advanced knowledge of Elasticsearch sharing, partitioning, aliases, watchers, etc.
Experience working in DevOps structured and Agile organizations
Excellent communication skills with minimum B2+ English
Outstanding analytical and problem-solving skills
Ability to work in a distributed and international, English speaking team
BSc in Computer Science, Engineering or relevant field
Tech Stack
ELK Stack, ELK Data Migration
Double Metaphone, Synonym Libraries
Benefits
Learning in a young and innovative team distributed all over the globe
Innovative projects of small to medium-sized clients, non-corporate and non-insurance
Excellent work-life balance with SPACE44 defending your interests to the client
"Employment-like" Freelancing with longterm assignments 6 month+
Very structured Onboarding & HR management with continuous support
Half-yearly feedback reviews and your personal development plan
Your desired hourly rate with regular raises
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Description
We are looking for an Artificial Intelligence (AI) Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications.
SPACE44 is a Service Provider for Software Development and builds offshore teams for customers in Europe and the USA. Although working distributed it is SPACE44’s philosophy to feel you part of a team with a strong team culture and support. We are a young team without hierarchies and dress codes - be yourself - authentic and honest - working like friends.
Responsibilities
Design and develop machine learning applications according to requirements
Study and transform data science prototypes
Research and implement appropriate ML algorithms and tools
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Extend existing ML libraries and frameworks
Prepare technical documentation
Implement software enhancements and suggest improvements
Write effective, scalable code
Requirements
Proven experience (at least 4 years) as a Machine Learning Engineer or similar role
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python, Java and R
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Outstanding analytical and problem-solving skills
Familiarity with agile (scrum) environments
Excellent communication skills with minimum B2+ English
Ability to work in a distributed and international, English speaking team
BSc in Computer Science, Engineering or relevant field
Benefits
Learning in a young and innovative team distributed all over the globe
Innovative projects of small to medium-sized clients, non-corporate and non-insurance
Excellent work-life balance with SPACE44 defending your interests to the client
"Employment-like" Freelancing with longterm assignments 6 month+
Very structured Onboarding & HR management with continuous support
Half-yearly feedback reviews and your personal development plan
Your desired hourly rate with regular raises
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