Associate AIML Engineer

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud the AI-powered Experience Orchestration platform organizations can accelerate growth by delivering empathetic personalized experiences at scale to drive customer loyalty workforce engagement efficiency and operational improvements.

We employ more than 6000 people across the globe who embrace empathy and cultivate collaboration to succeed. And while we offer great benefits and perks like larger tech companies our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Associate AI/ML Engineer

The Team and Your Role

We are seeking an Associate AI/ML Engineer to join our team and begin their professional journey in AI and software development. This is an entry-level position designed for individuals who are passionate about AI/ML and eager to learn from experienced engineers and researchers. Youll work under close supervision while contributing to real-world AI solutions in a cloud environment with opportunities to grow your technical skills and understanding of production ML systems.

What You Will Do

• Work on smaller well-defined tasks within AI/ML projects under supervision focusing on building foundational skills in Python development machine learning concepts and cloud technologies

• Write clean maintainable code following team standards and best practices with active participation in code reviews to learn from senior team members

• Assist in research data preparation model training experiments and basic feature engineering tasks while learning about ML pipelines and model deployment processes

• Participate actively in agile ceremonies (stand-ups sprint planning retrospectives) ask questions to deepen understanding and communicate progress on assigned tasks

• Learn and apply software quality practices including unit testing version control with Git and basic CI/CD concepts

• Demonstrate hunger to learn new technologies take on feedback constructively and show initiative in personal development through documentation tutorials and team knowledge sharing

Required Skills & Experience

• University degree (Hons 2.1 or higher) in Computer Science Engineering Mathematics Data Science or related discipline (or equivalent experience) with less than 2 years of relevant industry experience or recent graduate

• Basic proficiency in Python with understanding of fundamental programming concepts (variables loops functions OOP principles) plus demonstrated interest in AI/ML through personal projects coursework or self-study with basic familiarity with machine learning concepts (supervised/unsupervised learning training/testing)

• Ability to explain technical concepts work collaboratively with team members and participate actively in agile teams while being comfortable receiving constructive feedback

• Willingness and ability to learn quickly not afraid to ask questions shows self-motivation through personal projects beyond mandatory coursework and demonstrates proactive learning of new technologies

Desirable Skills & Experience

The following would be great additions but are not required:

• Exposure to at least one ML framework (TensorFlow PyTorch scikit-learn) through coursework or personal projects

• Experience with data manipulation libraries (pandas NumPy) or basic data visualization tools

• Basic familiarity with cloud concepts introductory experience with AWS services or understanding of REST APIs

• Experience with Java or other programming languages beyond Python (Java experience is particularly beneficial)

• Familiarity with Agile methodologies Jira or similar project tracking tools

• An awkward sense of humor genuine curiosity and collaborative mindset (we appreciate authenticity!)

What We Offer

As an Associate AI/ML Engineer youll focus on building foundational skills and gaining practical experience. With demonstrated growth in technical proficiency problem-solving abilities and independent work youll progress toward taking on more complex tasks with less supervision. The goal is to develop into a confident AI/ML Engineer who can own features end-to-end and mentor future associates.

Benefits

• Stability of a multinational company and the flexibility/speed of a startup company.

• The warmest of welcomes: we will make sure you feel part of the Genesys team from day 1.

• Keep you in the loop: Complete support and transparency from our global/local leaders.

• An A-team: Talented and experienced professionals you can grow professionally with.

• An open & inclusive community.

• Career development: We will support your professional growth because your goals are important to us.

• Flexibility: we are open to candidates being eventually office based in Budapest remote workers long term or a mix of both but Hungary based.

• Empathy: your well-being is our priority. You will have extra days off in August and October and extra time off to volunteer to help a cause close to your heart.

• Cafeteria health insurance life insurance learning center to improve yourself language courses gym vitamin bar company cafe with our own barista.

• And a fabulous new HQ from near Nyugati Railway Station at Budapest.

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About Genesys:

Genesys empowers more than 8000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people systems data and AI across the enterprise. As a result organizations can drive customer loyalty growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more visit.

Reasonable Accommodations:

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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race color age religion sex sexual orientation gender identity or expressionmarital status domestic partner statusnational origin genetics disabilitymilitary andveteran status and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.