Lead AI / ML Engineer

Posted 2024-11-19

💎 Seniority level: Lead, 7+ years

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

💸 Salary: 165000 - 190000 USD per year

🔍 Industry: Nonprofit, Consumer Advocacy

🗣️ Languages: English

⏳ Experience: 7+ years

🪄 Skills: AWSLeadershipPythonSQLArtificial IntelligenceImage ProcessingMachine LearningStrategyData scienceCollaborationCompliance

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.

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

🔧 Requirements