Description

You will build and maintain data-driven solutions to solve complex business problems through machine learning and advanced analytics.

Responsibilities

• Design, implement, and maintain scalable data pipelines for ingestion, transformation, and delivery to ML models.
• Develop and deploy machine learning models using natural language processing and computer vision techniques.
• Translate business requests into technical use cases, test cases, and training datasets.
• Implement monitoring and logging solutions to track model performance and detect anomalies.
• Collaborate with engineers, data scientists, and product managers to deliver AI solutions.

Required Skills

• 3+ years of experience developing BI solutions.
• 2+ years of experience writing SQL queries.
• 2+ years of experience developing dashboards using Tableau, PowerBI, or Looker Studio.
• 1+ years of experience working with Python.
• 1+ years of experience developing and deploying supervised, unsupervised, and reinforcement learning algorithms in production.
• Experience with data cleaning, preprocessing, feature engineering, and statistical analysis using PyTorch or scikit-learn.
• Proficiency with Python, SQL, PyTorch, Tableau, PowerBI, Looker Studio, BigQuery, SVN/Git, GitHub, and Apache Airflow.
• BS degree in Computer Science or a related technical field.

Preferred Skills

• Experience with Google Cloud tools including BigQuery ML, Vertex AI, Google Cloud Storage, and Dataflow/Apache Beam.
• Experience with Bigtable, PubSub, and Composer/Airflow.

Key Skills

Education

Any Graduate