Principal Software Engineer

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! About the Role Anaplan is looking for a skilled Senior Python Machine Learning Developer to join our AI engineering team. 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 data scientist; 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 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 ... (truncated, view full listing at source)