Lead Machine Learning Engineer - AI Solutions
About the Role
We are seeking a Lead Machine Learning Engineer to join our dynamic team in the European Union. This Lead Machine Learning Engineer remote position offers a unique opportunity to lead the development and deployment of cutting-edge ML models while working closely with a talented team in a start-up environment.
What You'll Do
- Design, optimize, and deploy machine learning models at scale, focusing on both structured and unstructured datasets.
- Utilize your expertise in Python and frameworks such as PyTorch, TensorFlow, and scikit-learn to implement advanced ML solutions.
- Oversee the MLOps lifecycle using tools like MLflow, Kubeflow, and SageMaker to ensure efficient model deployment and monitoring.
- Develop multi-agent systems and work on conversational AI projects, including Speech-to-Text (STT) and Text-to-Speech (TTS) systems.
- Implement Responsible AI practices, ensuring model governance and ethical AI usage.
- Collaborate with cross-functional teams to shape the company’s long-term AI/ML strategy and architecture.
- Mentor junior engineers and contribute to a culture of continuous learning and improvement.
- Participate in the development of scalable AI infrastructure on cloud platforms such as GCP and AWS.
Requirements
- 5+ years of experience in machine learning, with a strong focus on model design and deployment.
- Proficiency in Python and experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn.
- Hands-on experience with MLOps tools such as MLflow, Kubeflow, and SageMaker.
- Knowledge of multi-agent systems and conversational AI technologies.
- Experience working with large-scale structured and unstructured data.
- Strong understanding of cloud platforms and scalable AI infrastructure.
- Excellent problem-solving skills and ability to work in a fast-paced start-up environment.
Nice to Have
- Experience in hyper-growth start-up environments.
- Familiarity with monitoring and governance practices in AI.
- Knowledge of Responsible AI principles.
What We Offer
- Competitive salary of up to $10,000 per month, translating to an annual salary of $120,000.
- Visa and medical cover for you and your family.
- Yearly salary increases based on performance.
- Relocation support to the UAE.
- Opportunity to work in a dynamic and innovative environment.
- Access to continuous learning and professional development resources.
- Flexible working arrangements with a hybrid model.
If you are passionate about building and scaling production-grade machine learning systems, we encourage you to apply for this Lead Machine Learning Engineer remote position today!
This Lead Machine Learning Engineer position offers a competitive salary and the chance to lead innovative AI projects in a start-up environment.
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Who Will Succeed Here
Expertise in Python and experience with frameworks such as TensorFlow and PyTorch to design and optimize machine learning models for real-world applications.
Strong understanding of MLOps practices, including experience with MLflow and Kubeflow for deployment and monitoring of machine learning workflows in a hybrid work environment.
Proven track record of leading projects in cloud platforms like AWS and GCP, demonstrating the ability to manage cross-functional teams and deliver scalable AI solutions.
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