Data ScienceMachine Learning Engineer

Job Qualifications

• Bachelors Degree in Computer Science or related field
• Strong background in statistics, mathematics, and computer science, with a focus on machine learning and data science.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning techniques, such as regression, classification, clustering, natural language processing, deep learning, and reinforcement learning.
• Experience with data manipulation and analysis using SQL and/or NoSQL databases. Ability to preprocess and clean data, handle missing values, and perform feature engineering.
• Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to effectively communicate insights.
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
• Strong problem-solving skills and the ability to develop innovative solutions to complex business challenges.
• Excellent communication skills with the ability to present complex findings in a clear and understandable manner to both technical and non-technical stakeholders.
• Strong attention to detail, with the ability to work independently and manage multiple projects simultaneously.