About Easy Coding Tutorial

Easy Coding Tutorial is a fast-growing platform focused on empowering developers through high-quality tutorials, real-world projects, and practical learning resources. We’re expanding our team and looking for a skilled Machine Learning Engineer who’s passionate about building intelligent systems and working on impactful products.

? Job Type

- Fully Remote
- Full-time

? What You’ll Do
- Design, develop, and deploy machine learning models for real-world use cases
- Analyze and work with structured and unstructured datasets
- Build, evaluate, and optimize ML models for performance and scalability
- Collaborate with cross-functional teams to integrate ML solutions into products
- Develop and maintain data pipelines and model workflows
- Write clean, maintainable, and well-documented code

? Required Skills & Experience
- 2+ years of hands-on experience in Machine Learning or Data Science
- Strong proficiency in Python and ML libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch
- Solid understanding of ML concepts (classification, regression, clustering, model evaluation, feature engineering)
- Experience working with real-world datasets and data preprocessing
- Familiarity with REST APIs and integrating ML models into applications
- Experience using Git for version control
- Strong analytical and problem-solving skills

? Nice to Have
- Experience with Deep Learning, NLP,



or Computer Vision
- Knowledge of MLOps, model deployment, or monitoring
- Exposure to cloud platforms like AWS, Azure, or Google Cloud
- Experience with SQL or NoSQL databases

? Interview Process Our hiring process is simple, transparent, and skill-focused. It consists of 4 rounds :

1️⃣ Initial Phone Round A short phone discussion to understand your background, experience, and interest in the role.

2️⃣ Technical Coding Round – I (20–30 minutes)

Focuses on Python, problem-solving, and core machine learning fundamentals.

3️⃣ Technical Coding Round – II (30–40 minutes)

Involves advanced ML concepts, real-world scenarios, model design, and data handling.

4️⃣ Final Interview Round A discussion with senior team members focusing on projects, system thinking, collaboration, and culture fit.

? Compensation

- Salary: ₹10 – ₹40 LPA
- Based on skills, experience, and interview performance

? What We Offer
- Fully remote work with flexible schedule
- Opportunity to work on exciting and impactful ML projects
- Collaborative and growth-focused team environment
- Continuous learning and career growth opportunities

? How to Apply

Please share

- Your resume
- A portfolio link (GitHub, Kaggle, personal website, etc.)
- Project links demonstrating your Machine Learning work ( highly preferred )

📌 Machine Learning Engineer (India)
🏢 Easy Coding Tutorial
📍 India