🤖🚀 Breaking Into AI/ML: Entry-Level Jobs and Internships

Start Your AI/ML Career with These In-Demand RolesWelcome to the Crossingz Community! 🚀

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Crossingz Jobs and Tips
October 28, 2024

1. Discover Entry-Level Jobs and Internships

Our regularly updated job board is packed with entry-level positions and internships in various fields—making it easier for you to find a role that matches your career goals.

Would you like to get access to a full list of entry-level jobs and career development blogs? Here you can search for new job opportunities by industry, skill and location. Check out Crossingz Jobs!

Entry-level Job Board

Oscar: Regulatory Data Associate 📍 Remote
Apply here

Lumenalta (formerly Clevertech): Data Engineer - Databricks - Senior 📍 Edmonton, Alberta, Canada
Apply here

Smart TechLink Solutions Inc.: Senior Data Engineer 📍 Halifax, Nova Scotia, Canada
Apply here

Lumenalta (formerly Clevertech): Data Engineer - Databricks - Mid Level 📍 Winnipeg, Manitoba, Canada
Apply here

Suger: Full Stack Engineer 📍 Burlingame, California, US
Salary: $150k - $200k / year
Apply here

Flock Safety: Android Framework Engineer 📍 Remote
Salary: $125k - $170k / year
Apply here

Hewlett Packard Enterprise: AI Junior Consultant 📍 Spring, Texas, United States of America
Salary: $53.60k - $122.80k / year
Apply here

Internships:

SEI - Carnegie Mellon University: AI Security Intern - Summer 2025 📍 Pittsburgh, United States
Apply here

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Jumpstart Your Career in AI/ML: Top Entry-Level Roles

The AI and Machine Learning (ML) field is evolving fast, with growing opportunities for entry-level roles where you can learn, contribute, and grow. Here are some key positions to look out for:

1. Machine Learning Engineer Intern

  • Responsibilities: Assist in building and testing machine learning models, analyzing data, and supporting production model deployment.

  • Skills to Highlight: Python, TensorFlow, basic data handling.

  • Companies Hiring: Google, Microsoft, Startups (AI-focused).

2. Data Scientist - Entry Level

  • Responsibilities: Collect, process, and analyze data; develop algorithms; and create insights for business decisions.

  • Skills to Highlight: R/Python, SQL, data visualization, statistical analysis.

  • Companies Hiring: Deloitte, IBM, LocalTech Startups.

3. AI Research Assistant

  • Responsibilities: Support research projects, literature review, data annotation, and experiment documentation.

  • Skills to Highlight: Research skills, Python, experience with deep learning.

  • Companies Hiring: Research labs, academic institutions, and tech companies.

4. NLP (Natural Language Processing) Engineer Intern

  • Responsibilities: Work on language models, data labeling, and NLP pipeline development.

  • Skills to Highlight: NLP libraries (e.g., spaCy, NLTK), understanding of linguistics and machine learning.

  • Companies Hiring: Meta, Amazon, NLP startups.

Skills & Tools to Land an AI/ML Role

Breaking into AI/ML at an entry level requires a solid foundation in specific tools and skills:

  • Programming Languages: Python is essential, and R or Java can be advantageous.

  • Frameworks & Libraries: Familiarize yourself with TensorFlow, PyTorch, and scikit-learn.

  • Data Processing Tools: Knowledge of SQL, Pandas, and big data frameworks like Spark can set you apart.

  • Mathematics & Statistics: Understanding algorithms, probability, and statistics is crucial in most ML roles.

Career Tips: Building an AI/ML Portfolio

To make a mark, build a portfolio that showcases real projects:

  • Include Kaggle Projects: Completing projects on Kaggle or other platforms demonstrates hands-on experience.

  • Create a GitHub Portfolio: Share code and ML projects with detailed documentation.

  • Contribute to Open Source: Engage with AI/ML open-source projects to gain experience and visibility in the community.

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