Description

What you will do

  • Research innovative data solutions from unstructured sources to solve real business problems.
  • Design, implement, and maintain scalable data pipelines for data ingestion, transformation, and delivery to ML models.
  • Develop and deploy advanced machine learning models using techniques like natural language processing, and computer vision.
  • Collaborate with a team of engineers, data scientists, and product managers to deliver impactful AI solutions.
  • Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development
  • Implement monitoring and logging solutions to track model performance and detect anomalies
  • Remain current on new developments in data analytics, Big Data, predictive analytics, and technology.

What experience you need

  • BS degree in Computer Science or related technical field
  • 3+ years of experience developing BI solutions
  • 1+ years of experience working with Python
  • 2+ years of experience writing SQL queries
  • At least 1 year of experience in developing and deploying machine learning algorithms in production, including supervised, unsupervised, and reinforcement learning techniques.
  • At least 1 year of experience working on data cleaning, preprocessing, feature engineering, and statistical analysis and using popular frameworks such as PyTorch or scikit-learn
  • 2+ years of experience developing dashboards using tools such as Tableau, PowerBI or Looker Studio.

What could set you apart

  • Cloud Certification Strongly Preferred
  • Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery,
  • PubSub, GCS, Composer/Airflow, and others
  • Experience with Source code control management systems (e.g. SVN/Git, Github)
  • Experience with BigQuery, BigQuery ML, Vertex AI, Google Cloud Storage, Apache Airflow


 

Education

Any Graduate