Please apply using the link here: https://saarthee.keka.com/careers/jobdetails/72540 Position Summary: We are seeking a skilled Machine Learning Engineer to design, develop, and deploy ML models for various applications, including recommendation systems. The ideal candidate will implement and optimize machine learning algorithms to enhance model performance and accuracy while ensuring that enterprise infrastructure and data pipelines are equipped to support scalable ML solutions.This role involves collaborating with ML engineers and stakeholders to translate business requirements into effective ML solutions. Responsibilities include designing scalable machine learning pipelines for data preprocessing, model training, and deployment, as well as enhancing model monitoring to track scalability and error rates. Additionally, the role focuses on ML model load testing, developing end-to-end test cases, and evaluating model scalability and latency under varying workloads. The candidate will automate test cases to ensure seamless model deployment and operation in production environments.Responsibilities:Design and develop machine learning models for various applications, such as recommendation systems.Deploy machine learning solutions to meet enterprise goals and support experimentation and innovation.Ensure that enterprise infrastructure and data pipelines are well-equipped to support machine learning solutions.Implement and optimize machine learning algorithms to improve model performance and accuracy.Collaborate with ML engineers, and stakeholders to understand business requirements and translate them into effective ML solutions.Design and implement scalable machine learning pipelines for data preprocessing, model training, and deployment.Enhance Monitoring of model scalability, and incident of increased error rate and ensure optimal results.Focus on ML model load testing and creation of E2E Test Cases.Evaluate models scalability and latency by running suites of metrics under different RPS and creating and automating the test cases for individual models, ensuring a smooth rollout of the models.Qualifications:Bachelor's or master's degree in computer science, Engineering, Mathematics, or a related field.Minimum of 3-8 years of experience in machine learning, with a proven track record of building, monitoring, large scale ML models.Strong problem-solving skills and understanding of recommendation system.Strong programming skills in languages like Python, Scala, and Java.Hands on experience in Databricks, mlFlow, Seldon, Kubeflow, Jenkins, Tecton.Familiarity with custom machine learning platforms, feature store and monitoring ML Models.Expertise in recommendation algorithms.Experience with software engineering principals and use of cloud services like AWS.Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.Mandatory Skills: Databricks, ML flow, Seldon, Kubeflow, ML Load Testing, AWS Services, Tecton, Jenkins, Java/Python/Scala, Evaluate Scalability & latency of Models.

Please apply using the link here: https://saarthee.keka.com/careers/jobdetails/73077Position Summary: We are looking for a skilled Quality Engineer to join our team in the commerce and payments domain. In this role, you will work in an Agile Scrum environment, collaborating with architects, developers, and cross-functional teams to ensure the delivery of high-quality software products. The ideal candidate is experienced in test-driven development (TDD), automated testing, and continuous integration/continuous deployment (CI/CD).Job Responsibilities: Work in an Agile Scrum environment to support quality engineering activities in commerce and payments.Collaborate with architects and developers to create test plans for new functionality.Develop and implement best practices for Test-Driven Development (TDD), continuous integration/deployment (CI/CD), and automated testing.Establish and influence quality engineering best practices across the development community.Partner with Product Management, Architects, Engineering, Hosting, and Operations teams to drive quality initiatives.Engage with globally distributed teams to provide continuous delivery of high-quality software that enhances the customer experience.Key Skills Requirement: Bachelors or master's degree in engineering, Computer Science or equivalent experience having 5-9 years' experience in testing.Extensive hands-on technical expertise, including experience with Java.Key Skills to be evaluated for the role are: Java, Selenium, API Testing, Manual TestingExperience with all aspects of software test, including test planning, test automation, failure mode test, etc.Experience testing RESTful web services and web applications using POSTMANExperience with build automation and continuous integration tools (e.g., Jenkins).Experience with test automation frameworks (e.g., Selenium, Cucumber, etc)Ability to estimate effort and size of featuresExperience with agile development methodologies and test-driven development processesExperience using source control (esp. Git) and bug tracking systems in a team environment.