Description:

As a Lead AI ML Engineer at Burq, you will be responsible for designing, developing, and deploying machine learning models and data pipelines.
You will take ownership of the entire process, from defining problems to delivering production-ready solutions, requiring strong initiative and self-direction.
Collaborate closely with data engineers, data scientists, and business stakeholders to create scalable solutions that drive impactful business decisions.
Your expertise in various data and machine learning tools will be crucial in managing the data infrastructure and delivering high-quality AI/ML projects.

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.
A strong individual contributor mindset, demonstrating high autonomy.
Knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
Experience with cloud platforms such as AWS, GCP, or Azure.
Relevant certifications in data engineering, machine learning, or cloud technologies.