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WeLocalize

Senior AI/ML Platform Engineer

Sorry, this job was removed Sorry, this job was removed at 04:18 p.m. (IST) on Monday, Jul 14, 2025
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Hybrid
Noida, Gautam Buddha Nagar, Uttar Pradesh
Hybrid
Noida, Gautam Buddha Nagar, Uttar Pradesh

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To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Reference: #LI-JC1

Role Summary
The senior AI/ML R&D 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.

Qualifications

Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Experience: 5+ years of experience in Python & Node.js 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 node.js.
·       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: Exceptional communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.


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