Lead Machine Learning Engineer
We are looking for a Lead Machine Learning Engineer to join our team and drive the development, deployment, and support of advanced ML solutions in a production environment.
You will work in a cross-functional team, implement engineering best practices, automate ML processes, and integrate models into complex data-driven systems.
Responsibilities
- Design, develop, and maintain production-grade machine learning models
- Automate ML pipelines using modern tools (e.g., Databricks, Azure ML, AWS Sagemaker)
- Integrate ML solutions into complex data-driven systems
- Work with large-scale data using Apache Spark or alternative technologies
- Apply and promote engineering best practices and MLOps principles
- Collaborate with Data Science, Data Engineering, DevOps, and other teams
- Support various data processing paradigms (batch, micro-batch, streaming)
- Utilize cloud platforms (AWS, GCP, Azure) for deploying and maintaining ML solutions
Requirements
- 5+ years of experience in AI/ML engineering and leadership
- Skilled in deploying machine learning models to production
- Understanding of best practices in software engineering, data management, testing and deployment
- Expertise in building scalable, reliable and maintainable ML systems
- Experience with some of the MLOps-related platforms/technologies, such as AWS SageMaker, Azure ML, Databricks and GCP Vertex AI
- Strong communication and interpersonal skills to liaise with senior business stakeholders, clients and team members
- Ability to work in a fast-paced, deadline-driven environment, mentor junior team members and provide technical leadership
- Strong knowledge of Python development
- Familiarity with cloud-native services: AWS, Azure, GCP
- English proficiency at B2 level or higher
