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10 Yupcha Jobs

Python-ML Engineer

Yupcha Softwares

3-4 years

Agartala

1 vacancy

Python-ML Engineer

Yupcha

posted 3mon ago

Job Role Insights

Key skills for the job

Python Machine Learning Robotic Process Automation Data Collection Operational Excellence Orchestration

+ 3 more

Job Description

3+ years experience with Python, Git (version control system).
Proven experience in MLOps, DevOps, or related field, with a track record of managing machine learning lifecycle.
Moderate understanding of CI/CD systems.
Experience with Docker containerization and orchestration.
Ambitious in learning and pushing self to the limits in this field.
Familiarity with PyPI and Conda package management and deployment.
Ability to write and maintain scripts for build, deployment, maintenance, and related tasks.
Proficiency in testing and debugging with a focus on automation.
Excellent problem-solving skills and the ability to prioritize and manage multiple tasks.
Strong communication skills for collaborating with cross-functional teams and articulating technical concepts.

What Youll Do

As our ML Engineer, you will oversee the planning, execution, and management of ML & MLOps across Yupcha Software and Services. Your role is crucial in ensuring the operational excellence of our machine learning pipelines. You will:

Building custom vision, object detection, similarity detection and classification solutions/models for complex datasets with Tensorflow, Pytorch etc
Writing Turing test logic and algorithms to integrate with visual challenges consisting of puzzles or such to detect bots and robotic process automation tools.
Data collection and scraping experience
Deeper understanding in Machine learning topics like Regression and deep learning, automated model training, and Robotic process automation with ML.
Build automated dataset labelling/annotation tools such as xAnyLabeling etc.
Dedicated to the company s growth and actively participating in professional/career achievements.
Set up and maintain CI/CD pipelines for internal ML projects.
Manage version control and release cycles for various projects.
Design, implement, and oversee automated tests to ensure product quality.
Conduct thorough PR reviews, providing constructive feedback and ensuring best practices.
Reproduce, triage, and prioritize bug reports for timely fixes.
Collaborate closely with ML developers for feature expansions and the development of new models.