Machine Learning Engineer

Overview

We are looking for a highly skilled Machine Learning Engineer with expertise in Python, TensorFlow, Scikit-learn, and a solid foundation in Data Science and Algorithms. The ideal candidate will have experience building and deploying Machine Learning and Deep Learning models, optimizing algorithms, and working with SQL for data management. This role offers an exciting opportunity to apply machine learning techniques to real-world problems and contribute to innovative solutions.

Key Responsibilities

• Model Development: Design, build, and deploy machine learning models using Python, TensorFlow, and Scikit-learn for various data-driven applications.
• Deep Learning: Develop and train deep learning models for complex problems, including computer vision, NLP, and time series analysis.
• Algorithm Optimization: Implement and optimize machine learning algorithms for better performance and scalability.
• Data Management: Work with SQL databases to extract, manipulate, and store data for model training and evaluation.
• Model Evaluation: Use appropriate metrics to evaluate model performance and iterate to improve accuracy and efficiency.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders to implement machine learning solutions across applications.
• Research: Stay updated with the latest developments in machine learning, deep learning, and data science to incorporate new methods and technologies.
• Documentation: Maintain clear and detailed documentation of models, algorithms, and workflows for future reference and reproducibility.

Key Requirements

• Technical Skills:
• Strong proficiency in Python and libraries like NumPy, Pandas, and Matplotlib.
• Expertise in machine learning frameworks such as TensorFlow, Keras, and Scikit-learn.
• Solid understanding of Deep Learning techniques for various domains.
• Hands-on experience with SQL and data manipulation.
• Mathematical Foundation: Strong grasp of algorithms, linear algebra, statistics, and optimization techniques.
• Experience: Proven experience in developing, deploying, and optimizing machine learning and deep learning models.
• Problem-Solving: Excellent ability to troubleshoot and address challenges in machine learning pipelines.
• Collaboration Skills: Ability to communicate complex technical concepts to both technical and non-technical teams.

Why Join Us?

• Work on innovative machine learning and deep learning projects that make an impact.
• Collaborate with a talented team of engineers and data scientists.
• Leverage cutting-edge tools and technologies to develop state-of-the-art solutions.
• Opportunities for continuous learning and growth in the field of AI and machine learning.