Engineer II Software Development

About the Role

Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.

Key Responsibilities

• Design, build, and maintain scalable and reliable machine learning services and APIs using Python.

• Develop and productionize ML models, taking them from prototype to scalable, live systems.

• Construct and manage the data pipelines required for model training, validation, and inference.

• Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.

• Write clean, high-quality, and well-tested code, adhering to software engineering best practices.

• Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.

• Optimize applications for speed, scalability, and reliability.

• Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.

Required Qualifications

• Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.

• Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.

• Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.

• Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:

• Data manipulation and analysis: Pandas, NumPy.

• Core ML frameworks: scikit-learn.

• Deep learning frameworks: Experience with TensorFlow or PyTorch.

• Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.

• Experience with version control (Git) and CI/CD practices.

• Excellent problem-solving skills and the ability to write efficient, production-ready code.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.

• Familiarity with containerization technologies like Docker and orchestration with Kubernetes.

• Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).

• Knowledge of large-scale data processing frameworks like Spark or Dask.

What Makes This Role Exciting

This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.