Python Machine Learning NumPy pandas MySQL
Responsibilities :
- Coordinating with development teams to determine application requirements.
- Writing scalable code using Python programming language.
- Testing and debugging applications.
- Developing back-end components.
- Integrating user-facing elements using server-side logic.
- Assessing and prioritizing client feature requests.
- Integrating data storage solutions.
- Coordinating with front-end developers.
- Reprogramming existing databases to improve functionality.
- Developing digital tools to monitor online traffic.
- Work with the Data Scientists and Data Engineers to create production quality.
- Machine Learning pipelines and solutions
- Machine Learning pipelines and solutions with an emphasis on Performance, Scalability, Reliability, and Maintainability.
- Build components and libraries that will improve existing solutions and improve the delivery of new ones.
Qualification :
Bachelor's degree in computer science, computer engineering, or related field.5+ years of experience as a Python developer with ML.Ability to integrate multiple data sources into a single system.Familiarity with testing tools.Design and develop solutions using Machine Learning (ML) Techniques.Ability to collaborate on projects and work independently when required.Expertise in big data infrastructure, distributed systems, data modelingExpertise in big data infrastructure, distributed systems, data modeling, query processing, and relational.Involved in the design of big data solutions with Spark / HDFS / MapReduce / Storm / Hive.Strong knowledge of data structures and algorithms.Understands how to apply technologies to solve big data problems and to develop innovative big data solutions.Responsible for the implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences.Primary duties may include are but not limited to : Design machine learning projects to address specific business problems determined by consultation with business partners.Work with data-sets of varying degrees of size and complexity including both structured and unstructured data.Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis.Implements batch and real-time model scoring to drive actions.Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions.Develop sophisticated visualization of analysis output for business users."ML Model deployment and utilizing tools like ENSO, Kubeflow or MLFlowExcellent hands-on knowledge of Python, building API, NO SQL databases like MongoDB or Document DB.Understanding on Kubernates, docker, containerization, Openshift methodologies.Expertise in Splunk, Grafana / Prometheus or any monitoring of pods.Full cycle of building machine learning solutions, Understanding of wide range of algorithms and their corresponding problems to solveData preparation and analysisModel training and validationModel application to the problemExperience using the full open source programming tools and utilities "Primary Skill Set : Python and Micro services architecture & API
ref : hirist.tech)