Lead AI ML Engineer, Burq
+Opportunity for Equity
AI-powered last-mile delivery
Job no longer available
AI-powered last-mile delivery
21-100 employees
Job no longer available
+Opportunity for Equity
21-100 employees
Company mission
To make offering delivery simple, flexible, and turnkey for enterprises.
Role
Who you are
- We want people who are unafraid to be wrong and support decisions with numbers and narrative
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
- Proficiency in SQL and Python
- Experience with data integration tools like Airbyte
- Strong knowledge of data warehousing concepts and hands-on experience with Snowflake
- Experience with data transformation tools such as dbt
- Proficiency in using Databricks and Apache Spark for big data processing and machine learning
- Familiarity with Delta Lake for data lake management
- Experience with data visualization tools like Tableau
- Experience with relational databases like MySQL and PostgreSQL
- Strong analytical and problem-solving skills
- Excellent communication and teamwork abilities
- Ability to work in a fast-paced and dynamic environment
Desirable
- A strong individual contributor mindset, demonstrating high autonomy
- Knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, or Scikit-Learn
- Experience with cloud platforms such as AWS, GCP, or Azure
- Relevant certifications in data engineering, machine learning, or cloud technologies
What the job involves
- As a Lead AI ML engineer at Burq, you will play a crucial role in designing, developing, and deploying machine learning models and data pipelines. The ideal candidate will take full ownership, from problem definition through to delivering production-grade solutions, requiring strong initiative and self-direction
- You will work closely with data engineers, data scientists, and business stakeholders to build scalable solutions that drive impactful business decisions. Your expertise in various data and machine learning tools will be essential in managing our data infrastructure and delivering high-quality AI/ML projects
- Design, develop, and deploy machine learning models using Databricks and Apache Spark
- Implement data preprocessing, feature engineering, and model training pipelines
- Utilize dbt (data build tool) to transform and model data in Snowflake to prepare datasets for machine learning
- Use SQL and Python to analyze large datasets, derive meaningful insights, and build training datasets
- Conduct exploratory data analysis to identify trends, patterns, and anomalies
- Develop and maintain ETL pipelines using Airbyte to ingest data from various sources into Snowflake
- Manage and optimize data storage and retrieval using Delta Lake on Databricks to ensure efficient access for ML models
- Create and maintain interactive dashboards and visualizations in Tableau to communicate model results and insights to stakeholders
- Collaborate with data scientists to refine and improve machine learning models
- Monitor and evaluate the performance of deployed models, ensuring they meet accuracy and performance standards
- Work with relational databases such as MySQL and PostgreSQL for data storage and management as needed
- Communicate complex technical concepts and results to non-technical stakeholders effectively
Our take
For many B2C businesses, surviving today means meeting the on-demand delivery needs of consumers - something that can be difficult to achieve as a small business. Whilst last-mile delivery warehouses save small businesses from having to build their own delivery infrastructure, working exclusively with a single provider can greatly limit delivery options and stall a company's growth.
Burq provides an on-demand B2C delivery service platform which allows businesses to access multiple delivery providers for same-day delivery. The platform integrates directly with major sales platforms such as Zapier and Shopify, offering an analytic dashboard and delivery tracker across different modes of transport and providers.
Taking advantage of the expanding last-mile delivery sector, Burq has scaled its operations, swiftly building a thriving customer base in the small retailer and startup sectors. Having received funding from investors such as Village Global, it continues to launch new features and gain recognition as a partner for business growth.
Freddie
Company Specialist at Welcome to the Jungle
Company
Company HQ
SoMa, San Francisco, CA
Leadership
Salman Habib
(Co-Founder)Previously co-founded HelpED Foundation where they served as the President. They also co-founded/ served as the CEO at Hellofriend.
Shaban Habib
(Co-Founder)Co-founder of HelpED Foundation and Hellofriend. Previously co-founded Hilfe Billing Providers and worked in Business Data Management at SunTrust.
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