Machine Learning Engineer - AI solutions
Description For Machine Learning Engineer - AI solutions
Lyrise.ai is at the forefront of revolutionizing tech talent acquisition through innovative AI-driven solutions. As a company focused on transforming how companies discover and engage top-tier professionals across Europe, we're seeking a talented Machine Learning Engineer to join our dynamic team.
The role offers an exciting opportunity to work on cutting-edge AI technology in the recruitment space. You'll be responsible for designing, developing, and implementing machine learning models that power our AI-driven recruitment platform. This position combines technical expertise with practical application, requiring skills in both machine learning development and production deployment.
As our Machine Learning Engineer, you'll work with state-of-the-art technologies and frameworks, including TensorFlow, PyTorch, and modern MLOps tools. You'll be part of a collaborative environment where you'll interact with cross-functional teams to build and optimize solutions that have direct business impact.
The ideal candidate brings 2+ years of hands-on experience in machine learning, strong programming skills in Python, and expertise in working with large datasets. You'll have the opportunity to work on challenging problems in NLP, model optimization, and scalable AI systems while contributing to the future of recruitment technology.
We offer a flexible remote work environment, competitive compensation, and a strong focus on professional development. Join us in building the next generation of AI-powered recruitment solutions and be part of a team that values innovation, collaboration, and continuous learning.
Responsibilities For Machine Learning Engineer - AI solutions
- Design, develop, and implement machine learning models and algorithms to solve complex problems
- Preprocess and analyze large datasets to extract insights and prepare data for machine learning pipelines
- Optimize and deploy machine learning models into production systems, ensuring scalability, reliability, and performance
- Collaborate with cross-functional teams to integrate ML solutions into existing products and workflows
- Continuously monitor and improve model performance
- Stay updated with the latest advancements in machine learning and AI
- Document methodologies, processes, and tools
Requirements For Machine Learning Engineer - AI solutions
- Familiarity with MLOps practices and tools such as MLflow, Kubeflow, or TFX
- Experience with natural language processing (NLP), computer vision, or time-series analysis
- Knowledge of containerization and orchestration tools like Docker and Kubernetes
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field
- Proven experience (2+ years) in developing and deploying machine learning models
- Proficiency in Python, with experience in frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Expertise in working with large datasets using SQL and data manipulation libraries
- Experience with AWS, Azure, or GCP for deploying machine learning models
- Proficient in Git for collaboration and version control
Benefits For Machine Learning Engineer - AI solutions
- Competitive salary and performance-based bonuses
- Flexible working arrangements (hybrid and remote options)
- Generous annual leave and holiday policies
- Opportunities for professional development and certifications
- Inclusive and collaborative work culture
- Access to cutting-edge technology and tools
