Machine Learning Engineer - Mid-Level or Senior

About the Role

Are you passionate about using data and AI to drive business transformation? Do you enjoy building scalable ML solutions and helping teams adopt best practices?

As a Machine Learning Engineer – Field Specialist, you will play a key role in enabling Data Scientists and ML Engineers to leverage our global, cloud-native data platform efficiently. You will test, document, and scale ML techniques across teams, ensuring high-quality, production-ready AI solutions.

Key Responsibilities

• Act as a technical expert, guiding Data Scientists and ML Engineers on best practices, architecture, and ML model deployment.
• Design reference architectures, how-to guides, and demo applications to help teams implement scalable ML solutions.
• Lead Proof of Concepts (PoCs) to evaluate new technologies and assess their business impact.
• Support teams in MLOps best practices, including model deployment, monitoring, and lifecycle automation.
• Implement model performance monitoring, ensuring real-time tracking of data drift, accuracy, and scalability.
• Collaborate with Data Engineers to optimize data pipelines for ML model training and inference.
• Ensure ML solutions meet security, compliance, and responsible AI standards.
• Apply A/B testing and experimentation to validate and improve model effectiveness.
• Work closely with Architects and Platform Engineers to integrate new ML capabilities into the global data platform.

What You Need to Succeed

• Strong programming skills in Python, Scala, or Spark, with experience in ML libraries (NumPy, SciPy, Scikit-learn, Pandas, MLFlow).
• Experience with MLOps, including CI/CD pipelines for ML, monitoring, and model retraining.
• Knowledge of data orchestration tools such as Apache Airflow.
• Understanding of cloud-based ML platforms (Databricks ML, AWS SageMaker, Azure ML, or Google Vertex AI).
• Familiarity with containerization (Docker, Kubernetes) for ML deployment.
• Strong communication skills, with the ability to translate business problems into ML solutions.
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.

What Will Make You Stand Out

• Deep understanding of modern data architectures: Lakehouse, Kappa, Lambda, Data Warehousing.
• Experience in model performance optimization and A/B testing.
• Hands-on expertise in object-oriented programming (OOP) with Python.
• Prior experience mentoring junior engineers and leading technical initiatives.

What We Offer

• A dynamic, global team where your work directly impacts business transformation.
• Opportunities to innovate, experiment, and work with the latest AI/ML technologies.
• A collaborative culture that values continuous learning and professional growth.
• English fluency is a must.

Location: Remote

Model: Service Contract (PJ - Independent Contractor)