Machine Learning Engineer - Next-Gen AI Solutions
Description For Machine Learning Engineer - Next-Gen AI Solutions
Lyrise.ai is at the forefront of transforming tech talent acquisition through innovative AI-driven solutions. As a company focused on revolutionizing recruitment across Europe, we're leveraging state-of-the-art machine learning to reshape how companies connect with top-tier professionals.
We're looking for a Machine Learning Engineer to join our dynamic team and play a crucial role in developing our AI-driven recruitment platform. This position offers an exciting opportunity to work on cutting-edge machine learning solutions that have real-world impact in the recruitment industry.
As our Machine Learning Engineer, you'll be responsible for designing and implementing sophisticated ML models, working with large datasets, and optimizing production systems. You'll collaborate with cross-functional teams to integrate ML solutions into existing products and ensure their scalability and reliability.
The ideal candidate brings 2+ years of hands-on experience in ML model development and deployment, strong programming skills in Python, and expertise with modern ML frameworks. You should be comfortable working with cloud platforms, MLOps tools, and have experience in areas like NLP or computer vision.
We offer a flexible remote work environment, competitive compensation, and a strong focus on professional development. Join us in building the future of tech recruitment with AI-powered solutions that make a difference.
If you're passionate about machine learning, enjoy solving complex problems, and want to be part of a company that's revolutionizing the recruitment industry, we want to hear from you.
Responsibilities For Machine Learning Engineer - Next-Gen 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 - Next-Gen AI Solutions
- 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
- Familiarity with MLOps practices and tools
- Experience with natural language processing (NLP), computer vision, or time-series analysis
- Knowledge of containerization and orchestration tools
- Proficient in Git for collaboration and version control
Benefits For Machine Learning Engineer - Next-Gen 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
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