Prepare for and practice interview questions from Flexton inc..

Flexton inc. Interview Questions

Flexton inc. Interview Guides

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Flexton inc. Salaries by Position

Job DescriptionWe are seeking a skilled MLOps Engineer to join our dynamic team, contributing to our innovative MLOps projects. The ideal candidate will have a robust background in machine learning, programming, and data engineering, playing a pivotal role in the lifecycle of ML models. ResponsibilitiesModel Development: Develop and maintain machine learning models using Python and relevant ML libraries.Data Handling: Manage data preparation, model training, deployment, and monitoring processes.Containerization & Orchestration: Implement containerization using Docker and orchestrate with Kubernetes.CI/CD Pipelines: Develop and manage CI/CD pipelines using tools like Jenkins to ensure seamless integration and delivery.Version Control: Use Git for version control and to manage the codebase effectively.Cloud Deployment: Deploy and scale ML models on cloud platforms such as Google Cloud, Azure, or AWS.ETL and Data Pipelines: Implement ETL processes and data pipelines using tools like Apache Spark and Apache Airflow for workflow automation. Mandatory SkillsProgramming: Proficient in Python programming.ML Lifecycle Knowledge: Strong understanding of the ML lifecycle and familiarity with libraries like Scikit-learn, Keras, Pandas, XGBoost, and LightGBM.Containerization: Experience with Docker for containerization and Kubernetes for orchestration.CI/CD Expertise: Familiarity with CI/CD pipelines and tools like Jenkins.Big Data Technologies: Proficient in BigQuery, PySpark, SQL, Apache Hadoop, HDFS, and Hive.Cloud Platforms: Expertise in cloud platforms such as Google Cloud, Azure, or AWS.Data Engineering: Knowledge of ETL processes, data pipelines, and workflow automation tools like Apache Spark and Apache Airflow.Model Management: Experience with MLflow for effective model management. Preferred SkillsFeature Management: Experience with tools like Feast for managing features across training and serving.Testing & Monitoring: Understanding of A/B testing, canary deployments, and model drift monitoring.Monitoring Tools: Proficiency in monitoring and logging tools such as Prometheus and Grafana.Model Interpretability: Familiarity with model interpretability tools like SHAP.Deep Learning Frameworks: Understanding of advanced ML and deep learning algorithms and frameworks such as TensorFlow, Keras, or PyTorch.Cost Optimization: Ability to design cost-efficient pipelines and optimize resource usage in cloud environments.

Project Overview:The team is working on a Fullstack Web Application, where the focus is to enhance and develop new features for a highly scalable and robust enterprise-level web application. Responsibilities:<ul><li>Develop Java-based applications with a focus on high-performance and scalable systems.</li><li>Implement Restful APIs to integrate with various internal and external services.</li><li>Write clean, maintainable, and efficient code using Java and the Spring framework.</li><li>Collaborate with cross-functional teams to design and implement system features.</li><li>Solve complex algorithmic and data structure-related problems.</li><li>Participate in code reviews, ensuring adherence to best practices in software development.</li><li>Contribute to the overall architecture and design of the product.</li></ul> Required Skills and Qualifications:<ul><li>4+ years of hands-on experience as a Java Developer, specifically in enterprise application development.</li><li>Strong knowledge of Data Structures and Algorithms.</li><li>Expertise in Java, particularly for backend application development.</li><li>Experience with Restful API Development and integration.</li><li>Proficient in using the Spring Framework.</li><li>Solid understanding of ecommerce, retail, or enterprise applications.</li><li>Strong problem-solving skills and ability to work on complex technical challenges.</li><li>Background in CS Engineering or equivalent technical degree is preferred.</li></ul> Preferred Qualifications:<ul><li>Experience in Product Development environments, particularly for high-traffic applications.</li><li>Familiarity with web application architectures, databases, and microservices.</li><li>Ability to work in an agile environment with a focus on continuous improvement and collaboration.</li></ul>

If you’re a Product Manager within eCommerce/Retail domain, skilled in API Development, platform engineering, and Product Listing, this is your next big opportunity! Apply or send resume to vivekm@flextoninc.comClient is looking for someone with background as a Software Engineer transitioning to Product Management.Job Title: Technical Product ManagerLocation: San Jose, CA (Hybrid)Type: Contract (W2)Requirement:Seeking an experienced Technical Product Manager to lead new feature and service development for an eCommerce platform. This role requires a blend of technical and product management skills, particularly in API development and platform engineering, to drive product roadmaps and enhancements.This role focuses on creating and maintaining a product roadmap for modifications to product listings, covering areas like regulatory compliance, shipping, and new listings. You will collaborate closely with engineering to suggest new services, recommend platform enhancements, and maintain efficiency.

Flexton inc. Interview Questions

Flexton inc. Interview Guides

Flexton inc. Interview Questions

Flexton inc. Salaries by Position

Flexton inc. Opening Jobs