Ml Engineer

Key Responsibilities:

• Design, develop, and deploy machine learning models and algorithms.
• Collaborate with cross-functional teams to identify and define machine learning projects.
• Implement and maintain machine learning pipelines and infrastructure.
• Conduct data analysis, feature engineering, and model evaluation.
• Stay up-to-date with the latest advancements in machine learning and related technologies.
• Optimize model performance and scalability.
• Document and communicate findings and recommendations effectively.

Educational Qualifications:

• Bachelors or Masters degree in Computer Science, Machine Learning, Statistics, or a related field.

Must-Have Skills:

• Strong programming skills in Python.
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Solid understanding of machine learning algorithms and techniques.
• Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
• Experience with cloud platforms (e.g., AWS, Azure, GCP).

Good-to-Have Skills:

• Experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop).
• Experience with model deployment and monitoring.