Techno-Comp - Python Developer - Machine Learning
5 days ago
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 modeling
- Expertise 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 MLFlow
- Excellent 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 solve
- Data preparation and analysis
- Model training and validation
- Model application to the problem
- Experience using the full open source programming tools and utilities "
Primary Skill Set : Python and Micro services architecture & API
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