ACG1669JOB
Our client is a leading technology company with a focus on Big Data who is looking for a talent to join their firm:
- Take charge of the delivery process starting from the PoC stage and create scalable solutions in NLP Predictive Modeling and Decision Support Systems for customers.
- Specify and validate the data requirements necessary for implementing Data Science solutions.
- Analyze customer business problems to identify suitable Data Science solutions.
- Conduct Exploratory Data Analysis and develop AI models to solve specific business issues.
- Verify both technical performance and business value of the AI solutions developed.
- Collaborate with the engineering team to write productiongrade Python code for deploying AI models.
Requirements
- A relevant Bachelors degree (Data Science Computer Science Mathematics Engineering Statistics Physics etc.).
- 2 to 5 years of professional experience in analyzing exploring constructing and validating AI models using both structured and unstructured data.
- Proficient in professionallevel English both spoken and written.
- Handson experience in developing impactful AI models for specific solutions like text analytics applications.
- Working familiarity with ML frameworks such as scikitlearn TensorFlow Keras and pytorch.
- Fluent in Python with a solid grasp of software engineering principles and best practices.
- Knowledgeable in SQL Glue agile methods (e.g. Spark) largescale data processing frameworks and version control tools like git.
- Experience working with substantial datasets comfortable with querying filtering programmatically cleaning data and extracting quick data samples.
- Proficiency in creating comprehensive reports queries and scalable dashboards.
- Stay updated with the latest trends in AI Data Science and Big Data Algorithms.
- Familiarity with NLP would be advantageous.
- Ability for innovative "out of the box" thinking crucial for providing unique insights using publicly available data a pivotal aspect of the companys competitive advantage.
- Approach tasks with a positive "Can do" attitude and exhibit a high level of attention to detail.
Benefits
- 26 days of paid Leave: 14 Vacation Leave 14 Sick Leave and 5 Emergency Leave.
- Annual Merit Increase based on performance.
- Annual Milestone Bonus based on performance.
- Weekends off and Philippines holidays off.
- Provision of laptop for Philippinesbased employees.
Contact:
Due to the immense number of applications only shortlisted candidates will be contacted.
A relevant Bachelor's degree (Data Science, Computer Science, Mathematics, Engineering, Statistics, Physics, etc.). 2 to 5 years of professional experience in analyzing, exploring, constructing, and validating AI models using both structured and unstructured data. Proficient in professional-level English, both spoken and written. Hands-on experience in developing impactful AI models for specific solutions, like text analytics applications. Working familiarity with ML frameworks such as scikit-learn, TensorFlow, Keras, and pytorch. Fluent in Python with a solid grasp of software engineering principles and best practices. Knowledgeable in SQL, Glue, agile methods (e.g., Spark), large-scale data processing frameworks, and version control tools like git. Experience working with substantial datasets, comfortable with querying, filtering, programmatically cleaning data, and extracting quick data samples. Proficiency in creating comprehensive reports, queries, and scalable dashboards. Stay updated with the latest trends in AI, Data Science, and Big Data Algorithms. Familiarity with NLP would be advantageous. Ability for innovative, "out of the box" thinking crucial for providing unique insights using publicly available data, a pivotal aspect of the company's competitive advantage. Approach tasks with a positive "Can do" attitude and exhibit a high level of attention to detail.