Machine Learning Engineer

Roles & Responsibilities :

Design and implement machine learning models, algorithms, and deep learning applications and systems. Optimize and scale ML models for production. Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications. Monitor model performance and identify differences in data distribution that could potentially affect model performance in real-world applications. Ensure algorithms generate accurate user recommendations. Prepare and clean data for model training, including data wrangling, feature engineering, and handling missing values. Integrate machine learning models into production systems (web applications, APIs) using software engineering best practices. Document the machine learning development process and model performance for future reference and collaboration. Stay up to date with developments in the machine learning industry. Relevant Experience :

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred). At least 5 years of hands-on experience as machine learning engineer or similar role. Familiarity with Python, Java, C++, and R. Skills Expected :

Machine Learning Algorithms and Techniques (supervised, unsupervised, reinforcement learning). Software Engineering Principles (version control, testing, DevOps). Cloud Computing Platforms (AWS, Azure, GCP) (often a plus). Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. In-depth knowledge of machine learning frameworks, like Keras or PyTorch. Familiarity with data structures, data modeling, and software architecture. Excellent time management and organizational skills.

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