Machine Learning Lead

Om jobbet

Job Description:

Join us at ESAB's Budapest office, where we not only value your skills but also prioritize your well-being and ensure your voice is heard within our inclusive and supportive community.

SHAPE Your future with us!

About the job
The Machine Learning Engineer is a hybrid applied scientist and engineer role within the AI R&D team. The role combines technical expertise in machine learning and data engineering with the ability to engage business functions and identify opportunities where ML creates measurable business value. The Machine Learning Engineer builds robust ML pipelines, drives applied research and experimentation, and collaborates closely with product, operations, R&D, finance, and service functions to translate business needs into ML solutions.

Key Responsibilities
• Build and maintain ML pipelines, including data ingestion, preprocessing, training, deployment, and monitoring.
• Support fine-tuning and optimization of LLMs and other models for ESAB-specific use cases.
• Collaborate with IT and Digital Solutions to ensure scalable and secure infrastructure for ML applications.
• Lead exploratory workshops with business functions (Product, Operations, R&D, Finance, Services) to identify high-value ML opportunities.
• Translate business challenges into structured ML problem statements with clear ROI and feasibility assessments.
• Collaborate with solution architects to integrate ML models into business applications and processes.
• Act as a thought leader and advocate for ML adoption, raising organizational literacy and best practices.

Skills & Qualifications
• Master's degree in Computer Science, Data Engineering, or related field.
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face, scikit-learn, XGBoost.
• Proficiency in MLOps tools: MLflow or Weights & Biases, Kubeflow, Airflow or Prefect, Docker/Kubernetes, cloud ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
• Strong data engineering skills: SQL, Spark/Databricks, data warehouses (Snowflake, BigQuery, Redshift), vector databases (Pinecone, Weaviate, Milvus, FAISS).
• Experience building APIs (FastAPI, Flask, REST, GraphQL) for ML model integration into business applications.
• Proven ability to lead exploratory workshops with business stakeholders and translate needs into ML solutions.
• Excellent communication, facilitation, and storytelling skills.

Reporting

Reports to AI R&D Leader. No direct reports; collaborates with solution architects, process automation engineers, external consultants, and business functions.

Why is it a good place for work? Because we can offer you ⚖️

• Additional Benefits: annual performance bonus, cafeteria, Medicover health insurance, life & accidental insurance, and various recognition programs
• Regional Scope: Work closely with teams across different countries and regions
• Hybrid Work: Enjoy the flexibility of working from home 3-4 days/week
• LinkedIn Learning Access: Expand your skills with unlimited access

• Continuous Performance Feedback: Grow with regular performance discussions
• Supportive Environment: Thrive in a culture that values your contributions
• Community Events and Groups: Participate in our running & yoga clubs, board game evenings, travelers' club and several other events
• Extra Holidays for Years of Service: Celebrate milestones with additional time off

• Free weekends: in case of bridge days, Saturdays are always days-off
• Career Opportunities: Grow and develop skills in alignment with your career goals
• Automation/Process Improvement Projects: Drive initiatives to enhance efficiency and streamline workflows

Our hiring journey 📢

1. Submit your CV & application to our system.

2. If your qualifications match our expectations, we will reach out to you for a friendly phone conversation to get to know each other better.

3. Following this, we will extend an invitation for an online interview. During the 1-hour conversation, you will have the opportunity to meet with your Manager and a Talent Acquisition Partner. This will be a collaborative exchange, where we not only ask questions but also share valuable insights.

4. As the final step in the selection process, you will have the opportunity to conduct a 30-minute virtual interview with the Vice President of Supply Chain & Sourcing. Upon a successful recruitment process, you can expect to receive a job offer from us.

We strongly value the importance of feedback, and you can always count on us to provide you with a response. We believe in open communication! 🗣️

At ESAB Budapest SSC, we take pride in our role as the backbone of the world's leading welding and cutting company. Our contributions have played a crucial part in the construction of iconic structures like the Megyeri Bridge, NASA Space Station, and the 2014 FIFA World Cup Stadium. Our impact extends beyond these remarkable projects it's a thriving community of 220 professionals who are deeply committed to cultivating a workplace culture defined by shared values and a strong dedication to excellence. We prioritize your well-being, recognizing the importance of work-life balance for your happiness and success. Teamwork is integral to our culture, reinforced through social and team-building activities. Your voice matters: we foster an open and inclusive environment valuing all ideas. Enjoy flexibility with our hybrid work model, allowing you to choose your best working environment. Our SSC is located in Budapest's vibrant heart, step into our modern office space, designed for inspiration and productivity, reflecting our commitment to excellence. It's a source of great pride that we secured a well-deserved spot on the shortlist for the 2020 Office of the Year Award. Additionally, we cherish our recognition with the Family-Friendly Award and our membership in a diverse and inclusive community (Sokszínűségi Karta).

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