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Hir Infotech
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Machine Learning Engineering Intern

Machine Learning Engineering Intern

Hir Infotech

1 - 2 years

0 Lacs

ahmedabad

Posted:1 day ago| Platform:

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Skills Required

computer science computer vision data analysis gcp machine learning data structures data quality continuous improvement internship python

Work Mode

Work from Office

Job Type

Internship

Job Description

Qualification

AI RD Department

Role Overview

Join our ML engineering team to explore cutting-edge machine learning technologies, develop scalable AI solutions, and contribute to real-world applications. This collaborative learning opportunity focuses on end-to-end ML pipeline development, model deployment, and production system optimization.

Key Responsibilities

Design, develop, and optimize machine learning models using Python, TensorFlow, PyTorch, and scikit-learn frameworks
Build and maintain robust ML pipelines from data preprocessing through model deployment and monitoring
Conduct data analysis, feature engineering, and statistical validation to ensure high-quality model performance
Implement model evaluation frameworks and A/B testing infrastructure for continuous improvement
Collaborate with cross-functional teams including data scientists, software engineers, and product managers
Deploy ML models to production environments using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure)
Participate in code reviews, technical discussions, and contribute to research publications when applicable

Required Qualifications

Must-Haves

Bachelor s or Master s degree in Computer Science, Machine Learning, Data Science, or related field (final year students or recent graduates)
Strong programming proficiency in Python with experience in NumPy, Pandas, and machine learning libraries
Solid understanding of machine learning algorithms including supervised/unsupervised learning, neural networks, and deep learning
Knowledge of data structures, algorithms, and software engineering best practices
Experience with version control systems (Git) and collaborative development workflows

Nice-to-Haves

Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras
Familiarity with MLOps practices, model deployment, and production monitoring systems
Understanding of computer vision, natural language processing, or reinforcement learning applications
Experience with cloud-based ML services and containerization technologies
Previous internship experience or significant open-source contributions in ML/AI projects

Learning Outcomes and Development

Gain hands-on experience with end-to-end ML system development from research to production deployment
Master industry-standard ML engineering tools, frameworks, and methodologies through mentorship from senior engineers
Develop expertise in scalable ML infrastructure, model optimization, and performance monitoring techniques
Build comprehensive understanding of real-world ML challenges including data quality, bias evaluation, and system reliability
Access to cutting-edge research projects with potential for academic publications and conference presentations
Enhanced collaboration skills through cross-functional team projects and regular technical presentations

This unpaid internship represents a collaborative knowledge-sharing opportunity in the rapidly expanding field of machine learning engineering. Outstanding performers will be considered for full-time positions based on technical excellence, problem-solving abilities, and demonstrated impact on ML system development.

Duration:

6 months

Hours:

09:00 AM to 06:00 PM (Monday to Friday)

Location:

Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 (Offline Internship)

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Machine Learning Engineering Intern