Work from home | Silent Eight hiring Python Developer

Silent Eight company is looking for candidates for Python Developer position. This is a full-time work from home position for candidates who have completed their graduation or post graduation in Computer Science, Engineering or related field.

Job Overview

Company	Silent Eight
Role	Python Developer
Location	Work from home (Remote)
Education	Graduation / Post graduation in CS, Engineering, or a related domain
Experience	Freshers/ Experienced

About the role

As Python Developer at Silent Eight, you will be using must be aware of Python programming language & libraries related with Python. The libraries you must be familiar with are Numpy, Pandas, Scikit, etc.

Your work will be make and manage applications using Python programming language

Roles and responsibilities

As Python Developer you will develop and maintain Python applications for AML solutions.
Implement and optimize machine learning models, including large language models.
Integrate ML models into production with data scientists and cross-functional teams.
Design frameworks for data integration, validation, and quality checks.
Manage the full ML pipeline from preprocessing to deployment and monitoring.
Build prototypes for customers and stakeholders to drive product development.
Process large-scale structured and unstructured data for ML initiatives.
Ensure robustness, scalability, and efficiency of applications and models.
Provide technical support and troubleshoot ML and Python-related issues.
Follow best practices in coding, MLOps, and DataOps.
Assist teams with proof-of-concept projects.

Qualification

Education: For Python Developer role at Silent Eight, you must have completed your graduation or post graduation in Engineering, Computer Science, or a related domain.

Eligibility

Experience: No prior experience is mandatory. While having an experience would be a plus.

Skills

Proficient in Python and libraries like Pandas, NumPy, and scikit-learn.
Hands-on experience deploying ML models, including LLMs (e.g., GPT, BERT).
Skilled in ML frameworks such as TensorFlow, PyTorch, and Hugging Face.
Strong background in data preprocessing, feature engineering, and model assessment.
Experienced in handling large datasets and writing efficient SQL queries.
Knowledge of MLOps tools for automating ML workflows and deployment.
Ability to develop data integration and validation frameworks.
Strong analytical and problem-solving mindset with keen attention to detail.
Excellent communication skills for cross-team collaboration and simplifying technical concepts.
Familiarity with cloud platforms (AWS, Azure, GCP) and big data ecosystems.

About Silent Eight

Silent Eight is a forward-thinking company that empowers its employees to co-create innovative business solutions. By fostering a culture of open feedback, the company ensures that both its work environment and products continuously evolve. Employees play a crucial role in shaping the company’s growth, making their contributions meaningful and impactful.

With a team of highly experienced professionals, Silent Eight stands apart from typical tech startups. Every employee is a leader in their own right, bringing unique perspectives and expertise that drive collaboration across departments. The company prioritizes continuous learning, offering paid development days, in-house training, and engaging lunch-and-learn sessions to help employees expand their knowledge and skills.

Silent Eight values teamwork and connection, organizing regular team-building events, from offsite gatherings in Dubai to casual weekly meetups. Embracing a fully remote work model since 2013, the company ensures a supportive and inclusive virtual environment. Committed to diversity and equal opportunity, Silent Eight welcomes talent from all backgrounds to join its mission-driven team.

How to apply?

Gr through all the information present on this page.
Click on the ‘APPLY’ button.
Once you’re landed on the application page, scroll down.
Fill up the form manually or you can choose to apply with LinkedIn option.
To apply manually:
- Fill up all the mandatory details and upload your updated resume.
- Then click on the Submit button.
To apply with LinkedIn:
- Sign-in to your LinkedIn account.
- Your details will be automatically fetched from the LinkedIn account.
- Click on the ‘Submit’ button.

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