Machine Learning Engineer

Description:

Data Ropes is a cutting-edge tech company dedicated to the advancement of data science and machine learning. We are seeking a highly skilled Machine Learning Engineer to join our team and contribute to the development of innovative solutions for our clients.

Responsibilities:

·      Research, modify, and apply data science and data analytics prototypes.

·      Develop and implement ML models for FMCG and e-commerce applications.

·      Apply critical thinking and problem-solving skills to tackle real-world challenges.

·      Design and construct methods and plans for machine learning.

·      Utilize test findings for statistical analysis and model improvement.

·      Train, validate, test and retrain ML systems and models as needed.

·      Enhance and expand existing ML frameworks and libraries.

·      Develop machine learning applications tailored to client or customer requirements.

·      Investigate, test, and implement appropriate ML tools and algorithms.

·      Evaluate the application cases and problem-solving potential of ML algorithms, ranking them based on success likelihood.

·      Conduct data exploration and visualization to enhance data comprehension and identify discrepancies that may impact model effectiveness.

·  Utilize SQL for data manipulation.

Requirements:

·      Proven experience as a Machine Learning Engineer or similar role (fresh grad or 1 year).

·      Bachelor's degree in Computer Science, Mathematics, or a related field.

·      Strong understanding of data structures, data modeling, and software architecture.

·      Deep knowledge of mathematics, probability, statistics, and algorithms.

·      Familiarity with machine learning frameworks (e.g., Tensor Flow, PyTorch) and libraries (e.g., Scikit-learn).

·      Good understanding of NLP (Natural language processing) techniques.

·      Analytical mindset with the ability to solve complex problems using ML methodologies.

·      Proficiency in coding and programming languages, such as Python.

·      Practical understanding of ML frameworks and libraries.

·      Knowledge of Google Cloud Platform

·      Strong teamwork, problem-solving, and analytical skills.