Senior ML/AI Engineer

📋 Description

• Design, implement, and maintain robust AI/ML solutions and tooling for both batch and streaming ML
• Develop and manage monitoring and observability solutions for ML systems.
• Lead DevOps practices, including CI/CD pipelines and Infrastructure as Code (IaC).
• Architect and implement cloud-based solutions on AWS (or similar public cloud providers).
• Collaborate with ML Engineers and Data Scientists to develop, train, and deploy machine learning
• Engage in feature engineering and model optimization to improve ML system performance.

🎯 Requirements

• Strong Python Proficiency: Excellent skills for developing, deploying, and maintaining our machine
• Language Versatility: 5+ Years of Experience with statically-typed or JVM languages. Willingness to
• Cloud Engineering Skills: 5+ years experience with Cloud Platforms & Services, ideally AWS
• Infrastructure as Code: 3+ Years Proficiency in IaC, particularly Terraform.
• Kubernetes Expertise: 5+ years of hands-on experience with managing clusters and deploying services.
• Data Orchestration: 5+ years of Experience with ML orchestration tools (e.g., Flyte, Airflow

🎁 Benefits

• AWS AI Services: Hands-on experience with AWS SageMaker and/or AWS Bedrock is a plus.
• Data Processing: Experience with high-volume, unstructured data processing.
• ML Applications: Familiarity with NLP, Computer Vision, and traditional ML applications.
• System Migration: Previous work in refactoring and migrating complex systems.
• AWS Certification: AWS Solution Architect Professional or Associate certification.
• Advanced Degree: Master’s degree in ML / AI / Computer Science.