Description

You will design and implement machine learning solutions across NLP, Computer Vision, and Time Series domains.

Responsibilities

• Develop machine learning models using text vectorization, word vectors, classification, and entity recognition.
• Apply time series forecasting using AR, ARX, and ARIMA methodologies.
• Architect and present technical solutions, including architecture diagrams and requirement documents.
• Perform cost vs performance analysis to provide architectural recommendations.
• Optimize SQL queries and manage data within columnar storage, horizontally scalable databases, and data lakes.

Required Skills

• 5+ years of experience in Data Science with theoretical and hands-on knowledge of ML algorithms.
• 2+ years of proficient Python programming with a solid grasp of OOP.
• Expertise in Pandas, Sci-Kit Learn, Keras, SpaCy, and Tensorflow.
• 3+ years of intermediate SQL experience, including query optimization.
• Experience with models as a service, event-driven systems, and service-oriented architectures.
• 1+ years of experience with cloud infrastructure (Azure, AWS, or GCP).
• Experience with data warehousing and data lake environments.
• Bachelor's degree.

Preferred Skills

• Experience with Big Data tools including Hadoop, Hive/HQL, HDFS, Spark/PySpark, and Kafka.
• Experience with Kubernetes, Databricks, or Azure Synapse.

Key Skills

Education

Bachelor's degree