Machine Learning Engineering Lead
About the role
The Senior Lead Machine Learning Engineer will be responsible for designing, developing, optimizing, and deploying machine learning models for enterprise applications. The role involves architecting and maintaining scalable ML/Gen AI pipelines, developing containerized model artifacts, implementing advanced MLOps/AIOps practices, and establishing robust deployment architectures. The position also requires leading and mentoring ML engineering teams, collaborating with data scientists and other stakeholders, and driving continuous improvement and technology adoption. Candidates should have a strong background in machine learning engineering, data engineering, and cloud-native architectures, with at least 5 years of relevant industry experience.
Must have
- Bachelor’s Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Statistics, Software Engineering, Economics, Business, or a related field.
- 5 years of relevant industry experience in Machine Learning Engineering, Data Engineering, MLOps, or related disciplines.
- Proven experience designing and deploying enterprise-scale ML/AI solutions.
- Strong programming expertise in Python, Java/Spring Boot, JavaScript/Node.js, and related frameworks.
- Excellent knowledge of SQL and database management.
- Strong hands-on experience with AWS services and cloud-native architectures.
- Strong understanding of Data Science, Data Analytics, Data Engineering, and ML System Design.
- Hands-on experience with Docker, Kubernetes, CI/CD, model serving, monitoring, and automation.
- Strong understanding of MLOps/AIOps principles and ML model lifecycle management.
- Familiarity with Agile and Scrum methodologies.
- Strong leadership, communication, problem-solving, and stakeholder management skills.
Nice to have
- Master’s Degree in a relevant discipline will be an added advantage.
- Professional DevOps certifications will be an added advantage.
- Cloud Solution Architect certification will be preferred.
- Knowledge or experience in the telecommunications industry will be an added advantage.
Technologies
- Agile
- AWS
- CI/CD
- Cloud Native
- Data Analytics
- Data Engineering
- Data Science
- DevOps
- Docker
- Generative AI
- GitLab
- Java
- JavaScript
- Kubernetes
- Machine Learning
- MLOps
- Node.js
- Python
- Scrum
- Spring / Spring Boot
- SQL
- Statistics
Highlights
Applicants are required to send their updated CV to careers@talentexpress.lk. Professional DevOps certifications and Cloud Solution Architect certification are considered advantageous. Experience in the telecommunications industry is also a plus. Contact is available via WhatsApp at 0779 391 791.
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