Senior AI ML Platform Engineer

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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 platform's 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: Bachelor’s or Master’s 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. 

• 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: