ML Engineer

Duties And Responsibilities

• Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions tailored to those needs.
• Utilize Snowflake Cortex and other AI/ML development tools to design, implement, and optimize data models and algorithms.
• Conduct exploratory data analysis to uncover trends, patterns, and insights that can inform business decisions.
• Analyze complex datasets to extract actionable insights that inform product development strategies.
• Conduct complex statistical analyses, including regression modeling, hypothesis testing, and predictive analytics, to forecast trends and inform strategic decisions.
• Assist in developing machine learning models and algorithms to solve complex business problems and improve operational efficiency.
• Create and maintain detailed documentation of data analysis processes and AI/ML model development.
• Monitor and evaluate the effectiveness of AI/ML models in production and refine them as needed.
• Provide training and support to team members and stakeholders on data analysis tools and techniques.

Skills And Qualifications

• Proven experience as a Data Analyst or Data Engineer, preferably with experience incorporating AI/ML methodologies.
• Strong expertise in data analysis tools and languages (e.g., Python, R, SQL).
• Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).
• Excellent problem-solving skills and attention to detail.
• Ability to communicate complex findings in a clear and concise manner.
• Strong teamwork and collaboration skills.

Education And Experience

• Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
• Master’s degree preferred.