Melio Consulting is an AI product and consulting startup specializing in designing and building world-class software solutions. They focus on making AI frictionless, bridging the gap between data and IT Ops teams through MLOps practices. Their services include consulting, FLUID Maturity Assessments, training, and they offer solutions across diverse sectors such as finance, healthcare, and technology. Melio emphasizes a cloud-first approach and data-driven solutions, aiming to deliver tangible business value within 7 days. They boast a diverse team of experts in data science, engineering, and infrastructure, and offer various career opportunities including Data Scientist, DevOps Engineer, Fullstack Engineer, and Machine Learning Engineer roles.
• data-driven solutions
• mlops
• human-in-the-loop machine learning
• cloud-native technologies
• phased approach to ai solutions (design, build, maintain)
Data Scientist
Melio Consulting offers MLOps and AI solutions, deploying models into production for efficient business value generation. They specialize in cloud-native technologies, data-driven approaches, and offer consulting and training services.
Benefits:
Competitive base salary
Bi-annual performance-based bonus
20 days of leave (extra day every 3 years)
Curiosity grant
Be an advocate grant
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, Software Engineering, Applied Mathematics, Statistics, or related field
Experience Requirements:
Relevant data science or machine learning engineering experience
Programming experience (Python, SQL)
Strong analytical skills
Strong communication skills
Familiarity with fundamental machine learning theory
Other Requirements:
Some experience with at least one Cloud provider
Some experience working with the Big Data Suite
Some experience working with test automation and tools
Some experience with building training and inference pipelines for ML projects
Understanding of database architectures
Responsibilities:
Work with Analytics team to design, implement and test data engineering and machine learning software
Build and test data engineering and machine learning pipelines for data analytics or machine learning solutions
Follow all best practices and procedures as established by the client or industry
Document designed solutions and implemented tools
Brainstorm new solutions to improve data and ML software development and deployment
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DevOps Engineer
Melio Consulting offers MLOps and AI solutions, deploying models into production for efficient business value generation. They specialize in cloud-native technologies, data-driven approaches, and offer consulting and training services.
Benefits:
Competitive base salary
Bi-annual performance-based bonus
20 days of leave (extra day every 3 years)
Curiosity grant
Be an advocate grant
Education Requirements:
Bachelor’s degree in Computer Science, engineering, software engineering, or related field
Experience Requirements:
3 years experience in DevOps/SRE role
Previous experience with software development (Go, Python, Java or JavaScript)
At least one AWS certification (minimum Cloud Practitioner)
1 year of experience in Kubernetes or other CNCF projects
Other Requirements:
Minimum 1 year of experience working with Kubernetes
Responsibilities:
Work directly with the Development and Technical Support teams to design, implement and test application software
Brainstorm new solutions to improve development and deployment delivery
Design and implement build, deployment, and configuration management for application software
Build and test automation tools for infrastructure provisioning
Implement and manage CI (Continuos Integration) and CD (Continuous Delivery) tools
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Fullstack Engineer
Melio Consulting offers MLOps and AI solutions, deploying models into production for efficient business value generation. They specialize in cloud-native technologies, data-driven approaches, and offer consulting and training services.
Benefits:
Competitive base salary
Bi-annual performance-based bonus
20 days of leave (extra day every 3 years)
Curiosity grant
Be an advocate grant
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, Software Engineering, Applied Mathematics, Statistics, or related field
Experience Requirements:
2 - 5 years experience working with data science and data engineering
Previous experience with software development (Python, Java, Go)
Experience with agile methodologies and techniques used in software development
Designing and building cloud-native architectures
Competent in Docker and container technologies
Other Requirements:
Minimum 2 years of experience working with as a fullstack engineer
Backend experience (Python, Go, Java)
Frontend experience (React / Vue JS)
Experience with Git, Linux (bash), and at least 1 cloud provider
Responsibilities:
Understand and identify the clients’ needs and pain points
Design and analyse functional and non-functional requirements for the application aligning to the clients’ needs
Design, develop and maintain application software, relational databases, system APIs, system integrations, and web user interfaces
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