Machine Learning Engineer – Build Scalable AI Solutions

About the role

SunnyData is seeking a Machine Learning Engineer to lead complex data projects, develop predictive models, and deploy scalable AI solutions. You will collaborate with engineering, product, and analytics teams to turn business challenges into data‑driven insights.

Key responsibilities

• Design, develop, and deploy machine learning models in production.
• Work with large, complex datasets to build predictive analytics pipelines.
• Partner with data engineers to architect and optimize cloud‑based data solutions.
• Automate data workflows and model deployment using CI/CD tools and cloud services.
• Mentor junior data scientists and promote best practices in model operationalization.
• Communicate findings and strategic recommendations to stakeholders and executive leadership.

Required profile

• 4+ years of experience in data science or machine‑learning roles.
• Strong background in statistics, A/B testing, and machine‑learning algorithms.
• Excellent communication and leadership abilities.
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field (preferred).

Required skills

• Python (pandas, scikit‑learn, PyTorch, TensorFlow)
• SQL
• Machine‑learning operations (MLflow, SageMaker Pipelines, Airflow)
• Big‑data tools (Spark, EMR)
• Containerization (Docker, ECS, EKS)
• Cloud services and CI/CD tooling

What we offer

• Innovative environment with cutting‑edge AI and data‑engineering technologies.
• Opportunity to make a tangible impact on customer business outcomes.
• Career growth through professional development and advancement.
• Collaborative culture that values knowledge sharing and teamwork.