Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Lead AI/ML Engineer

Posted 2024-12-01

View full description

💎 Seniority level: Lead

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

🔍 Industry: Location data

🗣️ Languages: English

🪄 Skills: LeadershipPythonArtificial IntelligenceData AnalysisData MiningMachine LearningNLTKNumpyCross-functional Team LeadershipStrategyAlgorithmsData analysisData miningGoPandasTensorflowCommunication SkillsAnalytical SkillsCollaborationProblem SolvingMentoringAttention to detailOrganizational skillsPresentation skillsTime ManagementWritten communication

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.
Apply

Related Jobs

Apply
🔥 Lead AI / ML Engineer
Posted 2024-11-19

📍 Arizona, California, Connecticut, Illinois, Massachusetts, Michigan, New Hampshire, New York, Texas, Vermont, Washington D.C.

🧭 Full-Time

💸 165000 - 190000 USD per year

🔍 Nonprofit, Consumer Advocacy

  • Bachelor's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or related field.
  • 7+ years of professional working experience in AI/ML engineering projects.
  • Strong foundations in Computer Science, Math, Probability, Statistics, Machine Learning, Image Processing, Natural Language Processing (NLP), and Generative AI concepts.
  • Expert in Python, SQL, Unix Scripting and related libraries and frameworks.
  • Experience building end-to-end production grade AI/ML pipelines in cloud (AWS + Databricks).
  • Excellent communication and collaboration skills.

  • Analyze business requirements from cross functional teams and translate to technical AI/ML problems.
  • Lead the AI/ML initiatives in designing, developing and deploying AI Solutions.
  • Collaborate with business, product, UI/UX and engineering teams to build automated end-to-end AI/ML pipelines.
  • Research and stay updated on the latest AI/ML technologies and frameworks to drive innovation and improve the organization's AI/ML capabilities.
  • Advocate for responsible AI practices.
  • Mentor and guide team members on AI/ML engineering best practices.

AWSLeadershipPythonSQLArtificial IntelligenceImage ProcessingMachine LearningStrategyData scienceCollaborationCompliance

Posted 2024-11-19
Apply
Apply
🔥 Lead AI ML Engineer
Posted 2024-10-15

📍 United States

🔍 Delivery Network Solutions

🏢 Company: Burq, Inc.

  • 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.

  • 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.

AWSPostgreSQLPythonSQLData AnalysisETLGCPMachine LearningMySQLPyTorchSnowflakeTableauAzureData analysisData engineeringData scienceSparkTensorflow

Posted 2024-10-15
Apply