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Lead AI / ML Engineer
Posted over 1 year agoInactiveViewed
💎 Seniority level: Senior, 7+ years
📍 Location: Arizona, California, Connecticut, Illinois, Massachusetts, Michigan, New Hampshire, New York, Texas, Vermont, Washington D.C.
💸 Salary: $150k to $180k
🔍 Industry: Consumer Reports
🗣️ Languages: English
⏳ Experience: 7+ years
Requirements:
Bachelor's degree in Computer Science, Data Science, Machine Learning, AI or related field, strong foundations in Computer Science and related concepts, expert in Python and related libraries, experience building AI/ML pipelines in cloud (AWS + Databricks), excellent communication and collaboration skillsResponsibilities:
Lead AI/ML initiatives, collaborate with cross-functioning teams, build end-to-end AI/ML pipelines, research and stay updated on latest AI/ML technologies, mentor and guide team membersApplyRelated Jobs
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🔥 Lead AI ML Engineer
Posted 5 months ago
📍 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 engineeringData scienceSparkTensorflow
Posted 5 months ago
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