Senior Python Engineer (with DevOps & ML/LLM experience)
Ready to embark on a journey of opportunity? Join a team of 750+ employees in 20+ countries in the first consultancy originating from CEE. We bring together digital and advisory as an international collaboratory where every talent can shine, every employee can become a partner, and every partner can become a shareholder. We are explorers at heart, powered by diversity, passionate for growth and united by integrity by our core organizational values.Do you believe technology should work for the people and not vice versa? Then join our dynamic digital team! We specialise in product design, creative solutions, digital marketing, web and mobile app development, e-commerce, and custom solutions. With our focus on innovation and quality, we help businesses thrive in the digital landscape. Let’s team up to shape the future of technology-driven solutions and have fun along the way!Take a step towards your journey with us and join us as a Senior Python Engineer in Ukraine or remotely across the EU!We are looking for a Senior Python 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.
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:
- 10+ years of total experience in software development (significant Python expertise);
- 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;
- Banking/Finance experience is a plus, but not mandatory.
Benefits:
- Regular professional trainings and experience-sharing sessions;
- Team bonding activities — we foster team cohesion through various initiatives and informal gatherings;
- Competitive salary.
Originally posted on Himalayas
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