AI/ML Developer

2 days ago

Lahore, Punjab, Pakistan beBeeMachineLearning Full time
About the Role

We are seeking a talented AI/ML Engineer to join our team. As an AI ML engineer at our company, you will play a crucial role in designing, developing, and deploying machine learning models and data pipelines.

The ideal candidate will take full ownership, from problem definition through to delivering production-grade solutions, requiring strong initiative and self-direction. You will work closely with data engineers, data scientists, and business stakeholders to build scalable solutions that drive impactful business decisions.

Your expertise in various data and machine learning tools will be essential in managing our data infrastructure and delivering high-quality AI/ML projects.

Key Responsibilities
  • Design, develop, and deploy machine learning models using Databricks and Apache Spark.
  • Implement data preprocessing, feature engineering, and model training pipelines.
  • Utilize dbt (data build tool) 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.
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.
Preferred Qualifications
  • 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.

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