Lead AI ML Engineer

Posted 4 months agoViewed

📍 Location: United States

🔍 Industry: Delivery Network Solutions

🗣️ Languages: English

🪄 Skills: AWSPostgreSQLPythonSQLData AnalysisETLGCPMachine LearningMySQLPyTorchSnowflakeTableauAzureData engineeringData scienceSparkTensorflow

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 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.

Apply

Related Jobs

Apply

🔥 Lead AI/ML Engineer

Posted 3 months ago

📍 Honolulu, San Francisco, New York, Los Angeles, Denver, Miami

🔍 Location data

🔧 Requirements

Strong comfort with remote work and global collaboration.
Proven experience in building, deploying, and managing AI/ML models.
Ability to tackle complex data challenges, including multilingual data.
Familiarity with Large Language Models (LLMs) for data quality improvement.
Strategic thinking and innovative problem-solving.
Interest in staying updated with advancements in AI/ML and NLP.

💡 Responsibilities

Develop and implement AI/ML models to process and analyze large-scale location data.
Work on cleaning, deduplicating, and normalizing data from multiple sources.
Enhance global polygon data for accuracy and consistency.
Build and maintain ML pipelines for deduplication and data standardization.
Utilize NLP techniques to handle multilingual data for improved extraction and classification.
Collaborate with data scientists, engineers, and product managers to address data challenges.
Contribute to continuous improvement in data processing frameworks.

LeadershipPythonArtificial IntelligenceData AnalysisData MiningMachine LearningNLTKNumpyCross-functional Team LeadershipStrategyAlgorithmsGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationProblem SolvingMentoringAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communication

Posted 3 months ago

Apply