Machine Learning Engineer

No of Requirement's: 3

Responsibilities:

• Collaborate with cross-functional teams to understand project requirements and formulate machine learning solutions.
• Develop and implement machine learning models and algorithms to solve complex problems.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Train and fine-tune machine learning models using various techniques, including deep learning, ensemble methods, and statistical modeling.
• Evaluate model performance, conduct experiments, and iterate to improve accuracy and efficiency.
• Collaborate with software engineers to integrate machine learning solutions into production systems.
• Stay up-to-date with the latest advancements in machine learning and contribute innovative ideas to enhance our solutions.

Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field.2 years of industry experience working with machine learning algorithms and frameworks.
• Proficiency in programming languages commonly used in machine learning, such as Python or R.Strong understanding of machine learning concepts, algorithms, and evaluation metrics.
• Familiarity with data preprocessing techniques and feature engineering.
• Solid understanding of statistical analysis and experimental design.
• Strong problem-solving skills and the ability to work both independently and collaboratively.
• Excellent communication and presentation skills.