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