As a Machine Learning Engineer at TechVariable, you will play a crucial role in developing and implementing machine learning models and algorithms to solve complex problems and enhance our products and services. You will work closely with our cross-functional teams to analyze data, design and deploy machine learning solutions, and continuously improve model performance.
Responsibilities:
- Collaborate with product managers, software engineers, and data scientists to understand business requirements and translate them into technical solutions.
- Develop, train, and deploy machine learning models and algorithms to address various business challenges, such as recommendation systems, predictive analytics, and natural language processing.
- Conduct exploratory data analysis and feature engineering to extract meaningful insights from large and complex datasets.
- Evaluate model performance, identify areas for improvement, and implement enhancements to optimize accuracy, scalability, and efficiency.
- Stay updated on the latest advancements in machine learning techniques, tools, and technologies, and contribute to the adoption of best practices within the team.
Requirements:
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related field.
- 3+ years of professional experience in machine learning engineering .
- Solid understanding of machine learning concepts and algorithms, such as supervised and unsupervised learning, deep learning, reinforcement learning, etc.
- Experience in feature engineering and feature scaling.
- Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, etc.
- Strong analytical and problem-solving skills, with the ability to work with large, complex datasets.