Machine Learning Engineer - AI solutions
LyRise
This job is no longer accepting applications
See open jobs at LyRise.See open jobs similar to "Machine Learning Engineer - AI solutions" Techstars.Software Engineering, Data Science
Egypt
Posted on Jan 27, 2025
Lyrise.ai is revolutionizing tech talent acquisition through AI-driven solutions. We believe in harnessing state-of-the-art machine learning to transform how companies discover and engage top-tier professionals across Europe. Our culture is rooted in innovation, collaboration, and continuous learning, with a focus on delivering cutting-edge products that shape the future of recruitment.
We are seeking a talented and motivated Machine Learning Engineer to join our team in the UK. You will play a pivotal role in building and optimizing models that power our AI-driven recruitment platform. If you're passionate about applying machine learning techniques to real-world problems, developing scalable systems, and driving impactful results, we'd love to hear from you.
Key Responsibilities
We are seeking a talented and motivated Machine Learning Engineer to join our team in the UK. You will play a pivotal role in building and optimizing models that power our AI-driven recruitment platform. If you're passionate about applying machine learning techniques to real-world problems, developing scalable systems, and driving impactful results, we'd love to hear from you.
Key Responsibilities
- 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 (data scientists, engineers, product managers) to integrate ML solutions into existing products and workflows
- Continuously monitor and improve model performance by incorporating feedback, retraining models, and enhancing data pipelines
- Stay updated with the latest advancements in machine learning and AI to ensure the adoption of cutting-edge techniques
- Document methodologies, processes, and tools to maintain transparency and reproducibility
- 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 a 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 like Pandas and NumPy
- Experience with AWS, Azure, or GCP for deploying machine learning models and managing infrastructure
- Proficient in Git for collaboration and version control
- 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
This job is no longer accepting applications
See open jobs at LyRise.See open jobs similar to "Machine Learning Engineer - AI solutions" Techstars.