Machine Learning Engineer
5 days ago
Eligo Recruitment Ltd is a leading recruitment agency specializing in placing top talent in the tech industry. We are proud to be working with a cutting-edge AI startup that is revolutionizing the way businesses harness the power of artificial intelligence.
Job DescriptionWe are seeking a highly skilled and motivated Machine Learning Engineer to join our client's core team. As a founding engineer, you will be at the forefront of AI technology, helping shape a product that will make a real impact on the industry.
Key Responsibilities- Collaborate with cross-functional teams to define and prioritize machine learning projects.
- Design, implement, and optimize machine learning models, with a strong focus on building robust and scalable training pipelines.
- Develop data preprocessing workflows, feature engineering methods, and model training processes.
- Implement automation in model training, validation, and deployment processes to enhance efficiency.
- Conduct experiments to evaluate model performance and iterate based on findings.
- Stay current with the latest advancements in machine learning, particularly in areas related to training optimization and efficiency.
- Mentor and guide junior engineers, promoting a culture of continuous learning and technical excellence.
- Contribute to the strategic planning and growth of the company by providing technical insights and recommendations.
- Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field.
- Proven experience in developing and deploying machine learning models with a focus on training pipeline design and optimization.
- Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or similar.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Proficiency in designing and managing data pipelines and training workflows.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to work independently in a fast-paced startup environment.
- Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
- Ph.D. in a relevant field or equivalent industry experience.
- Experience with large-scale model training, distributed computing, or model optimization techniques.
- Prior experience working in a startup or early-stage company.
- Contributions to open-source machine learning projects or publications in top-tier conferences.
We offer a competitive salary and equity compensation package, as well as opportunities for professional growth and development. Our company culture is collaborative and inclusive, and we are committed to fostering diversity and equity in the workplace.
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