Machine Learning Engineer

Skill Set Required:

• 24 years of hands-on experience in software engineering or ML development.
• Proficiency in Python, with familiarity in libraries like Scikit-learn, Pandas, NumPy.
• Understanding of supervised and unsupervised learning algorithms.
• Experience building and deploying simple APIs (Flask, FastAPI) and using version control systems (Git).
• Exposure to ML frameworks like TensorFlow or PyTorch.
• Working knowledge of SQL and data pipeline tools (e.g., Airflow, Spark).
• Familiarity with cloud platforms (AWS/GCP/Azure) and ML services.
• Internships, projects, or certifications in ML/AI (Coursera, Udemy, Kaggle competitions, etc.) are a plus.