Full-Time Sr. Machine Learning Engineer

A Place for Mom is seeking a Sr. Machine Learning Engineer to build efficient, data-driven machine learning applications.

Key Responsibilities and Deliverables:

• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
• Design and develop machine learning and Gen AI systems.
• Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
• Construct optimized data pipelines to feed machine learning models.
• Run machine learning tests and experiments, and document findings and results.
• Model Maintenance and Monitoring: Implement and monitor model and data quality checks to ensure accuracy and consistency of models and pipelines in production.
• Train, retrain, and monitor machine learning systems and models as needed.
• Collaboration and Support: Collaborate with cross-functional teams (software engineers, data scientists, product managers) to build machine learning applications aligning with business objectives and best practices.
• Provide support on model and data-related issues and queries, providing clear and actionable reporting for stakeholders.
• Best Practices and Documentation: Create and maintain comprehensive documentation for machine learning processes, models, and pipelines.
• Implement and promote best practices for machine learning (coding standards, maintenance, and governance of machine learning models).

Experience: 5+ years of proven experience as a Machine Learning Engineer, working with structured and unstructured data sources, ETL processes, and data quality management.

Technical Skills: Strong proficiency in SQL, Databricks, AWS services, Python, Spark, and machine learning frameworks (XGBoost, Scikit, TensorFlow, Keras, PyTorch).

Analytical Skills: Excellent analytical and problem-solving skills, deriving insights from complex data sets.

Communication: Effective communication skills, conveying technical information and business impact to non-technical stakeholders.

Education: Master’s degree in Computer Science, Mathematics, or a related field, or equivalent working experience.

Compensation: Base Salary: $125,000 - $135,000 Bonus: 10% of annual earnings

Benefits: 401(k) plus match, Dental insurance, Health insurance, Vision insurance, Paid Time Off

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