Responsibilities

Focus on feature engineering, machine learning, and building causal algorithms for time series using Python, Postgres, Redis, and other technologies.

Support the design of Customer-specific technical solutions throughout the project life cycle.

Design sophisticated algorithms that solve business problems using AI like the best salesman route , dispatcher.

Work on various data sources and apply sophisticated feature engineering capabilities.

Extract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big Data.

Set up and manage our AI development and production infrastructure.

Help product owner and business stakeholders understand the potential and limitations of AI when planning new products.

Build data ingest and data transformation infrastructure.

Identify transfer learning opportunities and new training datasets.

Build AI models from scratch and help product managers and stakeholders understand results.

Deploy AI models into production.

Create APIs and help other departments put results of your AI models into operations.

Keep current of latest AI research relevant to our business domain.

Requirements

Bachelor’s degree in computer science AI Department.

Experience in applying data analytics/machine learning solutions to solve problems.

Ability to translate analytical ideas into code using Python and at least one other programming language.

Basic understanding of the key principles behind ML, AI, data wrangling and the common algorithms.

Strong interpersonal relationship building and a desire to share idea's contributing to the team's performance and development.

Excellent python programming language skills.

Excellent English (speaking, presenting, reading).