MLOps Engineer
Posted 3 days 1 hour ago by Verse Group Limited
Join our team as an MLOps Engineer who acts as the critical bridge between Data Scientists and DevOps Engineers. Translate experimental ML models into scalable, production-ready applications using cutting-edge AWS services.
The Role
Core Responsibilities:
- Technical Liaison - Bridge Data Science and DevOps teams, ensuring effective AI/ML solution deployment
- Hands-On Support - Assist data scientists with DevOps issues, Docker containers, and MLOps tooling
- Model Deployment - Deploy Hugging Face Transformers and ML models as secure microservices
- AWS ML Platform - Build and evaluate models using SageMaker, Bedrock, Glue, Athena, and Redshift
- Knowledge Transfer - Create documentation and mentor teams on MLOps best practices
- Full ML Lifecycle - Manage training, validation, versioning, deployment, monitoring, and governance
- API Development - Develop secure APIs using Apigee for enterprise AI functionality access
- Automation - Build CI/CD pipelines using Jenkins and Maven for ML project integration
Essential Requirements
Minimum Qualifications:
- Degree in Computer Science, Data Science, Mathematics, Physics, or equivalent experience
- Python/R proficiency with practical ML and statistical modeling experience
- End-to-end ML delivery - From experimentation to production deployment
- Data science fundamentals - Data cleaning, feature engineering, model evaluation
Critical Technical Skills:
- Production ML deployment - Demonstrated experience maintaining AI/ML models in production
- AWS ML services - SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, Redshift
- Hugging Face deployment - NLP, vision, and generative models in AWS environments
- API development - Flask, FastAPI microservices and REST API frameworks
- DevOps integration - CI/CD pipelines, Jenkins, Maven, Chef, Git version control
- Cloud architecture - Working across cloud-based infrastructures
Tech Stack & Tools
AWS Services: SageMaker, Bedrock, Glue, ECS Fargate, Athena, Kendra, RDS, Redshift, Lambda, CloudWatch
Development: Python, R, Flask, FastAPI, SQL
MLOps: Apigee, Hugging Face, Jenkins, Git, Docker
Environments: Jupyter, RStudio, Linux
What We're Looking For
Experience Level: Sr. Associate or Manager with hands-on data analytics and software delivery experience
Key Qualities:
- Client-facing skills - Strong communication, ability to explain technical concepts to non-technical stakeholders
- Multi-priority management - Handle competing priorities in challenging environments
- Continuous learning - Enthusiasm for new technologies, adaptability to client toolsets
- Collaborative mindset - Team player with trust, respect, courage, and openness
- Product-first attitude - Constantly improve product quality and support