Machine Learning Data Engineer

BlueOptima
Responsibilities and tasks:
- Solve business problems using advance Machine Learning and statistical techniques
- Identify opportunities to add value and solve problems using Machine Learning across the business
- Identify bottleneck in skills, technology and processes restricting the team’s ability to deliver excellence
- Exploring vast datasets, both structured and unstructured
- Owning the final solution; coordinating with different teams including engineering and client side teams to take a solution from exploratory analysis to deployed in production.
- Facilitate taking solutions into production, though active participation with the internal development teams
- Spec the requirements to solve a problem and identify the critical path and timelines and be able to give clear estimates quantifying any uncertainty
- Resolve issues and find improvements to existing Machine Learning solutions and measure their impacts
- Takes data-driven approaches to validate assumptions/issues and track progress on changes being implemented
What You Need to Succeed at BlueOptima:
- Minimum Bachelor’s degree in Computer Science/Statistics/Mathematics or equivalent.
- Minimum of 3+ years experience in developing solutions with at least 2+ years using Machine learning Algorithms in industry.
- An in-depth understanding of a wide range of Machine Learning techniques, and an understanding of which approach is best suited for the problem at hand (structured and ill-structured)
- Strong statistical analytics skills demonstrated through data engineering or similar experience.
- Understanding of python programming when building both applications and scripting simple solutions.
- A drive to not only identify a solution to a technical problem but to see it all the way through to inclusion in a product.
- Strong written and verbal communication skills
- Strong interpersonal and time management skills
Good to have (Technical requirements/ Previous experience)
- Significant experience with NLP techniques.
- Experience working with managing software vulnerabilities in a coding environment.
- An understanding of defensive coding practises.
- Experience with automating tasks to maximise time for more important problems.
- Experience with PostgreSQL or similar Rational Database.
- Experience with Data Visualisation experience (via Grafana, Superset, Tableau, or similar) is preferable.
- Be comfortable explaining very technical concepts to non-expert people.
- Experience of project management and designing processes to deliver successful outcomes.
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