Job Description
Key Responsibilities:
* Design, build, and optimize machine learning models and algorithms to tackle complex business problems.
* Clean, preprocess, and transform raw data to ensure suitability for training and testing machine learning models.
* Extract and engineer relevant features from the data to enhance predictive power and generalization of machine learning models.
* Conduct thorough experimentation and evaluation of various machine learning models to identify best-performing solutions.
* Optimize and fine-tune machine learning models to achieve optimal accuracy, efficiency, and scalability for production deployment.
* Create insightful visualizations of model outputs and data trends to facilitate better understanding and decision-making processes.
* Collaborate with software engineers and DevOps teams to ensure smooth deployment of machine learning models into production environments.
* Monitor performance of deployed models, address issues, and update models as necessary to maintain accuracy and relevance.
* Stay up-to-date with latest advancements in machine learning and related fields to explore and implement state-of-the-art techniques.
Requirements:
* Bachelor's or advanced degree in Computer Science, Engineering, Data Science, or a related field.
* Proven experience as a Machine Learning Engineer, Data Scientist, or in a related role.
* Proficiency in programming languages such as Python, R, or Java for implementing machine learning algorithms and data manipulation.
* Strong understanding of machine learning concepts, frameworks, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
* Familiarity with data visualization tools and techniques.
* Experience with big data technologies and distributed computing (e.g., Hadoop, Spark) is a plus.
* Solid knowledge of statistics and probability theory.
* Excellent problem-solving and analytical skills.
* Strong communication and teamwork abilities.