Techno-Comp - Python Developer - Machine Learning (6-9 yrs)

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