Machine Learning Intern (Leading to Full-time Role)

🚀Ready to Dive into the Future of Technology?🚀
Join our team and become a key player in shaping the future of Machine Learning, Deep Learning, and cutting-edge data science. We’re looking for a passionate and curious intern who’s ready to roll up their sleeves, learn, and make an impact. If you’re excited about solving complex problems, building cool ML/AI solutions, and getting hands-on with real-world data, this is the opportunity for you!

What You'll Be Doing:
🎯 Algorithm Mastermind: Research, design, and implement cool ML, DL, and statistical models to solve problems that matter.
📊 Time Series Magic: Work on innovative projects analyzing time series process data — your chance to bring data to life!
🔧 Pipeline Pro: Tinker with and improve existing ML/DL data pipelines to make them faster, smarter, and more efficient.
💡 Collaborative Innovator: Team up with our Data Engineering squad to build AI solutions that meet client needs — teamwork makes the dream work!
📝 Documentation Rockstar: Document your breakthroughs, architecture designs, and lessons learned, making sure we all grow together.
🌟 Feedback Guru: Collaborate with stakeholders and project teams, giving and receiving feedback to help fine-tune products and performance.

What We’re Looking For:

Skills & Experience:

• ML/DL Wizardry: Experience building systems using machine learning and deep learning methods.
• Python Pro: Strong hands-on experience with Python (we know you love it as much as we do!).
• Data Enthusiast: Solid experience with pandas, NumPy, Matplotlib, and scikit-learn — your toolkit for working magic on data!
• Deep Learning Know-How: Practical experience with frameworks like TensorFlow and PyTorch.
• Time Series Expert: Comfortable with state-of-the-art ML/DL models specifically for time series data.
• Database Savvy: Experience working with SQL and NoSQL databases — because data needs a home.
• Cloud Explorer: Familiar with cloud environments (bonus points if you’ve worked with Azure!).
• Team Player: You’re a self-starter who thrives in a collaborative, fast-paced, results-driven environment.

Eligibility Requirements:

• Degree: You’ve got a degree (or are on track to get one) in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on Deep Learning, Machine Learning, or Data Engineering.
• Availability: Ready to jump in a full-time internship? Your adventure starts here! Specific start dates will be shared during the recruiting process.

Ready to Make an Impact?
If you’re passionate about ML, love working with data, and want to dive into an internship that will challenge and excite you, we’d love to hear from you!