What are the responsibilities and job description for the Senior Machine Learning Engineer position at Veho?
About The Role
As a Senior Machine Learning Engineer, you’ll be directly embedded in a team of talented data scientists and software engineers to help define, deploy, and monitor sophisticated models that answer hard questions centered around improving our logistics network and user experiences. You’ll partner with product managers to understand high-value business problems and build systems that inform daily operations. You’ll work closely with data scientists and software engineers to operationalize our models through cutting-edge machine learning at Veho.
A Great Candidate
Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.
As a Senior Machine Learning Engineer, you’ll be directly embedded in a team of talented data scientists and software engineers to help define, deploy, and monitor sophisticated models that answer hard questions centered around improving our logistics network and user experiences. You’ll partner with product managers to understand high-value business problems and build systems that inform daily operations. You’ll work closely with data scientists and software engineers to operationalize our models through cutting-edge machine learning at Veho.
A Great Candidate
- Is an expert in their craft, creating high quality ML infrastructure and delivering impactful machine learning models to our stakeholders
- Works in close collaboration with the other Data Science team members and keeps the business value at the center of their work. Has a bias for action, balancing delivering impact in the short-term while building out the long term vision
- Can apply their ML / MLOPs knowledge to suggest new patterns, tools, approaches to improve the team’s models
- Building reliable, efficient, and scalable models for our AI/ML capabilities
- Creating robust data pipelines to feed analyses and models
- Ensuring data quality and data integrity through best practices in data integration
- Analyze and evaluate the impact and effectiveness of models in production systems
- Create standards and templates for model development and deployment across all Data Science teams
- Bachelor’s Degree plus at least 5 years of experience in machine learning engineering, or Master’s Degree plus at least 3 years in machine learning engineering
- At least 3 years of experience with developing and optimizing MLOps pipelines for speed, reliability, and observability
- Experience using statistical modeling or machine learning techniques to solve business problems
- Strong SQL and Python skills
- At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like Spark and Ray
- At least 3 years of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
- At least 3 years of experience working with cloud-based data engineering and data science tools.
Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.