Machine Learning Innovation Lead

7 dni temu

Kraków, Lesser Poland Endava Pełny etat

Company Overview:

We are a technology-driven company that harnesses innovation to drive meaningful change. With over two decades of experience, we combine world-class engineering, industry expertise, and a people-centric mindset to create dynamic platforms and intelligent digital experiences.

Our mission is to transform businesses through the power of technology. We partner with leading brands across various industries to develop cutting-edge solutions that unlock new opportunities.

Job Description:

We are seeking an exceptional Senior Machine Learning Engineer to lead the development of AI-driven solutions that optimize property valuations, enhance operational processes, and unlock new opportunities.

This role involves developing and optimizing machine learning models for comparable property search and ranking, leveraging natural language processing and advanced search algorithms.

The successful candidate will build text classification models to extract and categorize insights from unstructured real estate data, fine-tune and optimize models for accuracy, scalability, and real-time processing.

A key responsibility will be designing and implementing MLOps best practices, ensuring smooth model training, deployment, and monitoring in cloud environments.

This individual will also develop CI/CD pipelines for ML workflows, integrating automation for model retraining and performance monitoring.

Strong collaboration skills are required, working with data engineers to process, clean, and optimize real estate datasets for machine learning applications.

Required Skills and Qualifications:

  • Bachelor's, Master's, or PhD in Computer Science, Machine Learning, Data Science, AI, or a related field
  • 5+ years of experience in machine learning, deep learning, or applied AI, with a track record of deploying ML models in production
  • Strong programming skills in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch)
  • Expertise in search ranking algorithms, NLP, and text classification models
  • Experience with MLOps tools (MLflow, Kubeflow, AWS SageMaker, Vertex AI)
  • Knowledge of SQL, NoSQL, and big data technologies for managing large-scale datasets
  • Proficiency in cloud-based machine learning services (AWS)
  • Hands-on experience with containerization (Docker, Kubernetes) and CI/CD automation
  • Ability to translate complex ML concepts into business-driven solutions
  • Strong analytical thinking and problem-solving skills
  • Effective communication and stakeholder collaboration

Benefits:

  • Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus
  • Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership
  • Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences
  • Hybrid work and flexible working hours, employee assistance programme
  • Global internal wellbeing programme, access to wellbeing apps
  • Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations

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