Mid/Sr MLOps Engineer

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July 29

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Workforce Source

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Recruitment • HR Tech • B2B

Workforce Source is a company specializing in Recruiting Process Outsourcing (RPO) since 2003. They focus on providing results-oriented recruiting solutions to find top talent for their clients. Workforce Source maintains a vast proprietary database with millions of candidates and utilizes passive sourcing techniques to constantly add new candidates. They assist businesses of all sizes in enhancing their recruiting operations by offering innovative sourcing techniques, 24/7 recruiter support, and access to premium subscription services, aiming to extract maximum value and efficiency from their clients' recruiting processes.

11 - 50 employees

🎯 Recruiter

👥 HR Tech

🤝 B2B

📋 Description

• This opportunity is for the computer vision division of our client • A direct-to-consumer consumer-tech platform built to transform the global beauty, wellness, and health markets. • Integrating advanced technologies, including data science, machine learning models, and computer vision • Develop industry-innovating ourselves with unique new brands and develop exceptional products • Drive the deployment, optimization, and scaling of the computer vision deep learning models. • Collaborate with machine learning engineers and data managers to improve, validate, and deploy ML models at a large scale. • Design and implement large-scale data pipelines using cloud computing. • Work with our client to constantly grow and improve the ML workflows, tools, and data.

🎯 Requirements

• 3+ years of software development experience in Python • Strong experience with AWS Cloud services (Lambda, S3, ECS, EKS, EC2, etc.) • Expertise in Kubernetes & Docker for containerized ML model deployments. • Experience in orchestrating Machine Learning solutions for large-scale production. • Deep understanding of CI/CD pipelines for ML models (GitHub Actions, etc.). • Experience in Machine Learning Orchestration ( data version control, ML flow). • Experience with ML Model Monitoring (e.g., Seldon, Grafana). • Knowledge of Data Engineering Tools ( Airflow, Spark, or similar). • Independence & Proactiveness – A self-starter approach who pushes boundaries and drives projects to completion. • Strong Communication & Leadership Skills – Ability to work across teams and drive ML Ops best practices. • B2+ English proficiency (our client's primary communication language) • Experience with MLOps frameworks (clearML / SageMaker / W&B) • Advantage - Experience with TensorFlow • Advantage - Familiarity with GPU-based model deployment and optimization • Advantage - Background in computer vision and deep learning workflows • Advantage - MB.Sc. in Computer Science or equivalent

🏖️ Benefits

• Competitive salaries • 20 working days paid vacation, including paid compensation if the vacation days weren’t used • Health insurance including dentist • Gym membership • Training programs and coaching to support career development and more • Corporate celebrations, team-building events, fun activities, and more