Key Responsibilities:
- Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Participate in identification and evaluation of data elements to deliver analytics for product development.
- Solve complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Continuously innovate and determine new approaches & technologies to solve business. problems and generate business insights & recommendations.
- Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve.
- Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision.
- Evangelize releases to users, incorporating feedback, and tracking usage to inform future development.
- Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, or any related discipline
- Minimum 2 years of experience in Machine Learning Engineer role.
- Excellent proficiency in Python, Spark, SQL.
- Hands-on experience with Hadoop big data tools (Hive, Impala, Spark).
- Motivated, flexible, self-directed, and capable of leading small project teams.
- Quantitative and problem-solving skills.
- Excellent project management abilities.
- Quick learner with the ability to implement new technologies.
Interested Applicants, please email your resume to (R1441955), stating the position as the subject title in the email. All Applications will be handled with strict confidentiality.
