Machine Learning Engineer @ Hyland

• • 3+ years of experience in ML/NLP/GenAI development
  • Hands-on experience with LLMs, prompt engineering, and ML platform frameworks
  • Proficiency in Python and frameworks like Hugging Face, PyTorch, or TensorFlow
  • Familiarity with both relational and non-relational databases, vector databases, and graph databases (e.g., PostgreSQL, MongoDB, Pinecone, ElasticSearch).
  • Strong programming skills in Python and SQL, with experience in at least one data processing framework (e.g., Panda/Dask, Spark, Flink, Beam, Kafka …).
  • Experience with cloud-based ML (preferably AWS: SageMaker, Bedrock, Lambda, S3)
  • Knowledge of evaluation techniques, including scoring and benchmarking models
  • Understanding of ML Ops concepts and tools (e.g., MLflow, Weights & Biases)
  • Knowledge of machine learning concepts and experience applying them in real-world use cases.
  • Ability to package and deploy code to production environments in the Cloud.
  • Experience with monitoring and observability tools (e.g. Datadog, Grafana, Prometheus).
  • Ability to use original thinking to translate goals into the implementation of new ideas and design solutions
  • Experience with data engineering, including working with data warehouses, ETL
  • Knowledge of CI/CD tools like Terraform and Docker

Hyland Software is widely known as a great company to work for and a great company to do business with. Being a leader in providing software solution for managing content, processes and cases for organizations across the globe we enabled more than 20,000 organizations to digitalize their workplaces and transform their operations.

We are truly thrilled to develop our R&D Center in Katowice, heart of Silesia region and enlarge Hyland across the globe We hope to spread our #hylandlife philosophy here, create a vibrant culture where employees can feel connected to each other regardless of their work location and where positive work environment is defined by employees’ happiness, health and engagement.

Join our team in building Context API, a SaaS product designed to turn raw, unstructured content into powerful, searchable metadata. Whether it’s a 200-page legal document, an image, a video, or an audio recording, Context Enrichment uses both GenAI and PredictiveAI techniques to generate summaries, topics, named entities, tags, and classifications to enhance discoverability, automation, and insight generation.

As a Machine Learning Engineer, you’ll play a key role in scaling our AI capabilities and shaping the intelligence behind Context Enrichment. Your work will directly impact the user experience, performance, and trustworthiness of our enrichment engine. You will work in close collaboration with cross-functional teams, including those developing AI Agents and managing our centralized Data Lake, to ensure seamless integration and alignment across the platform.

Hyland’s Offering

We’re proud of our culture and take employee engagement seriously. By listening to employees’ feedback, we’re able to provide meaningful benefits and programs to our workforce.

• Learning & Development- development budget (used for certifications, conferences ect.), tuition assistance program, 4,000+ self-paced online courses, instructor-led webinars, mentorship programs, structured on-boarding experience full of trainings, dedicated Learning & Development department supporting our employees
• R&D focus – cutting edge technologies, constant modernization efforts, dynamic and innovative environment, dedicated R&D Education Services department to help you grow
• Work-life balance culture– flexible work environment and working hours (we are working in task-based system), possibility to work from home, we value trust and we believe efficiency does not depend on your actual location, however we would like to spend time together in the office
• Well-being- private medical healthcare, life insurance, gym reimbursement, psychologist & dietician consultation, wellness manager care, constant wellbeing programs
• Community Engagement– Volunteer time off (24h/year), Hylanders for Hylanders relief found, Mission fit giving, Dolars-for-doers matching gift programs
• Diversity & Inclusion– employee resource groups, inclusion benefits and policies
• Niceties & Events– culture & outings budgets, snacks and beverages, employee referral program, Christmas, birthday, baby gifts, constant incentives and employee programs

If you would like to join the company where honesty, integrity and fairness lie in the bottom of values, where people are truly passionate about technology and dedicated to their work and where employees are called family – connect with us

We are committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, marital status, or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants.

,[Run experiments with LLMs, open-source models, and prompt optimization for summarization, classification, entity recognition and other metadata extraction, Improve response quality by integrating scoring, reasoning, and evaluation metrics, Build and maintain a framework for evaluation and model comparison, Designing and implementing production-grade data pipelines to transform raw data into structured, enriched outputs, Collaborate with product, engineering, and vertical teams (e.g., healthcare, finance, insurance) to align ML features with business use cases, Participate in fine-tuning LLMs and domain-specific model optimization] Requirements: Cloud, Angular, C#, .NET CORE, .NET, Docker, Terraform, Helm, GitHub Actions, AI, ML, NLP, Python, PyTorch, TensorFlow, Relational database, PostgreSQL, MongoDB, Elasticsearch, SQL, Spark, Flink, AWS Lambda, AWS S3, MLflow, Machine learning, Machine Learning, Datadog, Grafana, Prometheus, Data engineering, Data warehouses, ETL, CD tools, Tailwind, Kafka Tools: . Additionally: Sport subscription, Training budget, Private healthcare, -house consultation from Learning & Organizational Development team, Career coaching and custom development planning, Mentoring and leadership development programs, Tuition Assistance Program, 4,000+ self-paced online courses, Instructor-led webinars, Wide variety of curated learning tracks, Employee Referral Program, Department and team outings/happy hours, Behavioral Health Group Sessions with Hyland’s psychologist, Wellness Manager care, Stress Management online courses, Movement Challenges with opportunities to earn incentives, Nutrition Education and Cooking Demos with Hyland’s Dietitian, Parent Support speaker series, Hylanders for Hylanders employee relief fund, Employee Resource Groups, Flexible working hours and remote work possibility, International projects, 5 additional days of PTO, Multisport card, Free coffee, Free parking, Bike parking, Playroom, Free snacks, Free beverages, No dress code.

---