Our organization is seeking a highly skilled Machine Learning Practitioner to lead our artificial intelligence efforts. This role will involve developing and deploying machine learning models, working with large datasets, and collaborating with cross-functional teams.
To be successful in this position, the ideal candidate will have a strong background in machine learning, data structures, and algorithms. They should be proficient in programming languages such as Python, with experience using popular libraries like Pandas and NumPy. Additionally, expertise in deep learning frameworks and cloud-based technologies would be beneficial.
Key Responsibilities:
* Design and develop machine learning models for classification, regression, and clustering tasks
* Collaborate with data scientists and engineers to integrate machine learning into larger systems
* Analyze large datasets to identify trends and opportunities for improvement
* Develop and deploy scalable and efficient machine learning pipelines
Requirements:
* Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
* At least 4 years of professional experience in machine learning or a related field
* Deep understanding of data structures, algorithms, and problem-solving at scale
* Experience with system design, clean architecture, and performance optimization
Preferred Qualifications:
* Strong experience with distributed systems, APIs, or data processing pipelines
* Familiarity with cloud environments (AWS, GCP, or Azure) and CI/CD workflows