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Job Responsibilities:
The Senior AI/ML Platform Engineer is responsible for leading the design implementation and optimization of scalable machine learning infrastructure. This role ensures that AI/ML models are efficiently deployed managed and monitored in production environments while providing mentorship and technical leadership to junior engineers.Key Responsibilities
Architectural Leadership: Lead the design and development of scalable secure and efficient AI/ML platform architecture ensuring robust and reliable infrastructure.
Automation & Deployment: Develop and implement advanced automation pipelines for model deployment monitoring and rollback enhancing operational efficiency.
Cross-Functional Collaboration: Collaborate with cross-functional teams including data scientists and product managers to define platform requirements and support seamless model integration.
Performance Optimization: Drive performance tuning load balancing and cost optimization strategies to ensure the platforms efficiency and scalability.
Mentorship & Leadership: Mentor junior platform engineers providing technical guidance and fostering a culture of best practices and continuous learning.
Incident Management: Conduct post-mortems and root cause analysis for system failures and performance issues implementing corrective actions to prevent recurrence.
Education:
Educational Background: Bachelors or Masters degree in Computer Science Engineering or a related field.
Experience:
5 years of experience in AI/ML platform or infrastructure engineering with a proven track record in leading and executing complex projects.
Technical Expertise:
Expertise in cloud-based solutions (e.g. AWS GCP Azure) distributed systems and microservices architecture.
Proficiency in Terraform Docker and advanced automation tools.
Proficiency in python and .
Strong understanding of machine learning frameworks (e.g. TensorFlow PyTorch) and MLOps practices.
Problem-Solving Skills: Excellent problem-solving skills with a proactive approach to identifying and addressing technical challenges.
Leadership Skills: Strong leadership and mentoring skills with the ability to guide and inspire engineering teams.
Communication Skills: Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical stakeholders.
Additional Job Details:
Required Experience:
Senior IC
Full-Time