Job Location: Bangalore/Bengaluru
Qualifications
Responsibilities and tasks:
- Optimise the Data Engineering Teams efforts to ensure they are able to deliver best solutions with the least effort.
- Manage the applications supporting the development of both data pipelines and Machine Learning Solutions.
- Identify new solutions of products to accelerate the development
- Track the status, health and performance of internally developed solutions.
- Ensure the Data Engineering teams are able to scale efficiently by automating key processes.
- Create solutions that set the standards to support challenges with Machine Learning such as data drift.
- Facilitate taking solutions into production, though active participation with the internal development teams.
- Spec the requirements to solve a problem, identify the critical path, and timelines and be able to give clear estimates quantifying any uncertainty.
What You Need to Succeed at BlueOptima:
- Minimum Bachelors degree in Computer Science/Statistics/Mathematics or equivalent.
- Minimum of 2+ years experience in building and deploying ML solutions.
- Expert level proficiency in Python programming.
- Experience building applications and scripting solutions using frameworks like flask, pandas, numpy.
- Experience in evaluating long term performance of an ML solution in production.
- Experience supporting others to improve their own solutions or approaches.
- Experience setting standards and best practices for a team.
- Strong Analytical skills demonstrated through data engineering or similar experience.
- Experience with scaling, deployment and management of docker solutions using Kubernetes.
- Experience working with both SQL (ideally Postgres) and noSQL databases.
- Comfortable challenging different approaches to problem solving to help others find the best approach.
- Strong written and verbal communication with interpersonal and time management skills
- Ability to learn and incorporate new technologies into the BlueOptima ML infrastructure, as and when needed.
Good to have (Technical requirements/ Previous experience)
- Experience working with MLFlow.
- Experience working with machine learning frameworks like Tensorflow(Keras) or Pytorch, Data Visualisation tools (via Grafana, Superset, Kibana, or similar)
- Comfortable working on multiple projects simultaneously, and able to draw the parallel between them to find efficiencies.
- An understanding of defensive coding practices with a range of programming languages, understanding the differences in their approaches.
- Experience with automating tasks to maximise time for more important problems.
- Experience of project management and designing processes to deliver successful outcomes.
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