Description review
Senior Python Engineer (with DevOps & ML/LLM experience)
Civitta · Lithuania · back to the listing
HR standards
44/100
poor
Title ↔ description
57/100
needs work
Reads as
Machine Learning Engineer
91% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
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Startups
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What the listing never says
- 16 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Join Civitta - an international company with 750+ colleagues across 20+ countries. We focus on management consulting, funding, and digital solutions. Originating from Central and Eastern Europe, we also deliver projects across Central Asia, the Middle East, and the United States.
Help businesses turn strategy into digital solutions: from AI-powered marketing to data-driven products and custom software. We combine business thinking with technical execution. Every day, you might build an e-commerce platform using predictive analytics, design a high-impact digital campaign, or develop a data-driven product that drives measurable results.
Take a step towards your journey with us and join us as an ML Ops Engineer in the EU!
We are looking for an ML Ops Engineer to join an international, results-driven team working at the intersection of machine learning, cloud infrastructure, and high-quality software development. You’ll play a key role in taking projects from proof-of-concept to production, writing robust, scalable, and clean Python code.
Please note that only applicants residing in EU countries will be considered for this position.
You will:
• Design and implement end-to-end solutions, from prototype to production deployment;
• Collaborate with Data Scientists, Developers, and Analysts across the organization;
• Ensure production-grade quality in every deliverable — performance, security, maintainability;
• Build and optimize solutions leveraging LLMs, machine learning, and Vector DBs;
• Set up and manage infrastructure on Azure and AWS, including private endpoints and VPN integrations;
• Contribute to DevOps workflows to streamline CI/CD, monitoring, and deployment.
Requirements:
• 6+ years of total experience in software development (significant Python expertise);
• Business-oriented mindset;
• Good DevOps knowledge;
• Solid experience working with cloud platforms (Azure, AWS);
• Familiarity with LLMs and ML workflows in production environments;
• Experience with Vector DBs and secure network integrations (VPNs, private endpoints);
• Excellent communication skills and a results-oriented approach to problem-solving.
Benefits:
• Team bonding activities — we foster team cohesion through various initiatives and informal gatherings;
• Flexible schedule;
• Competitive salary.
Originally posted on Himalayas
Help businesses turn strategy into digital solutions: from AI-powered marketing to data-driven products and custom software. We combine business thinking with technical execution. Every day, you might build an e-commerce platform using predictive analytics, design a high-impact digital campaign, or develop a data-driven product that drives measurable results.
Take a step towards your journey with us and join us as an ML Ops Engineer in the EU!
We are looking for an ML Ops Engineer to join an international, results-driven team working at the intersection of machine learning, cloud infrastructure, and high-quality software development. You’ll play a key role in taking projects from proof-of-concept to production, writing robust, scalable, and clean Python code.
Please note that only applicants residing in EU countries will be considered for this position.
You will:
• Design and implement end-to-end solutions, from prototype to production deployment;
• Collaborate with Data Scientists, Developers, and Analysts across the organization;
• Ensure production-grade quality in every deliverable — performance, security, maintainability;
• Build and optimize solutions leveraging LLMs, machine learning, and Vector DBs;
• Set up and manage infrastructure on Azure and AWS, including private endpoints and VPN integrations;
• Contribute to DevOps workflows to streamline CI/CD, monitoring, and deployment.
Requirements:
• 6+ years of total experience in software development (significant Python expertise);
• Business-oriented mindset;
• Good DevOps knowledge;
• Solid experience working with cloud platforms (Azure, AWS);
• Familiarity with LLMs and ML workflows in production environments;
• Experience with Vector DBs and secure network integrations (VPNs, private endpoints);
• Excellent communication skills and a results-oriented approach to problem-solving.
Benefits:
• Team bonding activities — we foster team cohesion through various initiatives and informal gatherings;
• Flexible schedule;
• Competitive salary.
Originally posted on Himalayas