Software Engineer 4
Software Engineer 4
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1 Vacancy
Job Description
MW Partners is currently seeking a Software Engineer to work for our client who is a global leader in multimedia and creativity software products.
Responsibilities and duties:
- Pipeline Development: Implement optimize and maintain CI/CD pipelines for ML systems including integrations with GitHub workflows and Jenkins.
- Collaboration: Partner with data scientists frontend engineers and platform teams to deliver seamless integration of ML models into core evaluation platforms.
- Environment Management: Administer ML development/production environments using cloud-native solutions; optimize for scalability reliability and cost.
- Tooling and Automation: Evaluate build and deploy automation tools to streamline the end-to-end ML lifecycle.
- Quality & Monitoring: Enhance and develop quality evaluation features and ensure robust monitoring via dashboards and automated alerts.
- Documentation & Best Practices: Champion engineering best practices promote code quality and document workflows tools and processes for effective team adoption.
Requirements:
- Masters in computer science or related STEM field
- Minimum 5 years in software engineering; at least 2 years dedicated to DevOps/MLOps in cloud and production environments.
- Industry experiences building end-to-end software pipelines and infrastructure with deep experience with Kubernetes Infrastructure as Code (Terraform CloudFormation) AWS and GCP.
- Expert proficiency in Python; working knowledge of ML frameworks (e.g. PyTorch TensorFlow MLflow)
- Practical experience with cloud and NoSQL databases such as DynamoDB; SQL databases a plus.
- Skilled with GitHub Actions Jenkins GitLab CI Docker and related automation platforms.
- Exposure to Computer Vision Generative AI (GAN CLIP Diffusion MLLM) and their practical deployment for evaluation systems.
- Experience in integrating ML workflows with user-facing features and backend pipelines.
- Strong problem-solving excellent written/verbal communication and the ability to lead and collaborate effectively across teams.
- Python Typescript Shell script languages
- Experience with ML pipeline tools (Kubeflow Airflow MLflow)
- Services on AWS such as S3 Lambda DynamoDB
- CI/CD systems (GitHub Actions Jenkins GitLab)
- Infrastructure-as-Code experience (Terraform CloudFormation)
- Containerization (Docker Kubernetes)
- Communication and documentation skills
- Strong problem-solving skills and the ability to work collaboratively across teams.
- Strong knowledge of ML-Ops a bonus
- CI/CD systems (GitHub Actions Jenkins GitLab)
- Infrastructure-as-Code experience (Terraform CloudFormation)
For a confidential discussion or to find out more contact Itishree Mohanty on or apply now.
Employment Type
Full-time
