Machine Learning Engineer

About the role

At SunnyData, our mission is to help customers build highly scalable architecture, robust data engineering pipelines, and easy data consumption layers, while developing ML and AI applications that drive outstanding business outcomes. As a Machine Learning Engineer you will lead complex data projects, develop predictive models, and deploy scalable machine learning solutions.

Key responsibilities

• Design, develop, and deploy machine learning models.
• Work with large, complex datasets to extract insights and build predictive analytics pipelines.
• Collaborate with data engineers to architect and optimise cloud‑based data solutions.
• Translate business challenges into data‑driven solutions using statistical modelling and machine learning techniques.
• Automate data workflows and model deployment processes with cloud services and CI/CD tools.
• Mentor junior data scientists and promote best practices in model development and operationalisation.
• Communicate findings and strategic recommendations to stakeholders and executive leadership.

Required profile

• 4+ years of experience in data science or machine learning roles.
• Proficiency in Python and SQL.
• Strong background in statistics, A/B testing, and machine learning algorithms.
• Experience building and deploying models in production environments.
• Familiarity with MLOps practices and tools such as MLflow, SageMaker Pipelines, or Airflow.

Required skills

• Python (pandas, scikit‑learn, PyTorch, TensorFlow)
• SQL
• MLflow, SageMaker Pipelines, Airflow
• Spark, EMR
• Docker, ECS, EKS
• Statistics and A/B testing

What we offer

• Innovative environment with cutting‑edge technologies.
• Opportunity to make a real impact on customer data‑driven decision‑making.
• Career growth and professional development pathways.
• Collaborative culture that values knowledge sharing.