AI/ML Specialist

2 weeks ago

Lahore, Punjab, Pakistan beBeeMachineLearning Full time $180,000 - $200,000
Machine Learning Model Developer

About us, a company that powers deliveries for fast-growing businesses.

We started with building the largest network of delivery networks, partnering with some of the biggest delivery companies. Our mission is to turn the complex process of offering delivery into a simple turnkey solution.

Our team has assembled a world-class team all over the U.S., operating at scale but still small relative to the opportunity. This means you have an unprecedented opportunity to grow while doing the most important work of your career.

We want people who are unafraid to be wrong and support decisions with numbers and narrative. As machine learning model developers, 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. You will work closely with data engineers, data scientists, and business stakeholders to build scalable solutions that drive impactful business decisions.

Requirements:
  • 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
Responsibilities:
  • 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

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