Principal Software Engineer

Infinite Computer Solutions

0 years

0 Lacs

anupgarh rajasthan india

Posted:1 day ago| Platform:

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Skills Required

software python learning aws ai ml analyze design tensorflow pytorch sagemaker data engineering code agile planning leadership model development deployment architecture git documentation communication collaboration containerization docker devops

Work Mode

On-site

Job Type

Full Time

Job Description

37341BRNepal

Role Summary:

We are seeking a highly skilled

Senior Python Developer

with deep expertise in

Artificial Intelligence (AI)

Machine Learning (ML)

, and

AWS cloud services

. The ideal candidate will not only be technically proficient but also capable of identifying real-world AI/ML use cases and translating them into scalable, production-ready solutions.

Key Responsibilities

Analyze business challenges and proactively identify opportunities for AI/ML-driven solutions.
Design, develop, and deploy Python applications and ML models using frameworks like TensorFlow, PyTorch, Scikit-learn, etc.
Architect and implement cloud-native solutions using AWS services such as SageMaker, Lambda, EC2, S3, and others.
Collaborate with product managers, data scientists, and engineering teams to define and deliver impactful features.
Ensure code quality through best practices.
Participate effectively in Agile processes including sprint planning, stand-ups, retrospectives etc.
Maintain clear and comprehensive technical documentation.
Mentor junior developers and contribute to technical leadership and innovation.

Required Skills & Qualifications

Expert-level proficiency in Python and its data science ecosystem.
Proven experience in AI/ML model development, deployment, and lifecycle management.
Strong understanding of AWS cloud architecture and services.
Ability to identify and scope AI/ML use cases aligned with business goals.
Familiarity with Agile methodologies, version control systems (Git), and documentation standards.
Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

Experience with containerization (Docker, Kubernetes).
Knowledge of CI/CD pipelines and DevOps practices.
Exposure to MLOps tools and workflows.
Contributions to open-source projects or technical publications.

Qualifications

GraduateRange of Year Experience-Min Year8Range of Year Experience-Max Year10

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