“Priorise (https://priorise.co/)” offers full spectrum Decision Science & Project Management solutions by innovating at the intersect of Business and Decision Science technologies powered by AI and ML.
We are committed to delivering exceptional services to our clients by working closely with each client to understand their unique requirements and develop business-aligned solutions suited to their environments.
We are obsessed with driving solutions for our clients, grit to see things right to implementation & have insane openness to challenges.
We are looking for a Data Engineer/Machine Learning Data Engineer for one of the leading SAAS majors in the world.
Please find below JD for Data Engineering role.
Key Responsibilities
- Interact with internal clients to understand their requirements for predictive analytics applications and personalized recommendations
- Co-operate with the Global Sales Intelligence team to design and execute the replicable data acquisition and utilization process. Acquiring, analyzing, cleaning and structuring disparate sources of data is an essential part of your daily responsibilities
- Co-operate with IT and BI teams to ensure integration and implementation of the algorithms developed in the production environment
- Work with data scientists, data analysts to design best-suited, robust, and scalable ML solutions and evaluate the deployed ML model’s effectiveness.
- Write robust production-level and tested code and engage in code reviews.
- Deploy ML model pipelines with SQL and Python based technologies, scale through Big Data, optimise performance and automate fail-over.
- Own the machine learning pipeline end-to-end (data pipeline, model deployment and optimisation, and insight delivery)
- Scale and automate the current product using tools like Pyspark and Airflow
- Partner and communicate with stakeholders to plan the additional features to be added to the product scope on a monthly basis
- Continuously improve on existing processes, automate existing analyses, define standard methodologies, and provide thought leadership around product initiatives
Must Have
- Masters/Bachelor’s degree in Computer Science or equivalent/related degree.
- Strong skills working with very large data sets with a variety of tools; experience in dealing with performance and scaling issues.
- At least 5 years of professional experience with SQL(Oracle and snowflake) and Python
- 5+ years of experience in automating data pipelines using workflow management tools like Airflow, Pyspark, etc.
- Ability to own the machine learning pipeline end-to-end (data pipeline, model maintenance, QA, and insight delivery)
- Strong communication and negotiation skills to partner with stakeholders for product feature planning and roadmap
- Ability to work effectively in an unstructured and fast-paced environment both independently and in a team setting, with a high degree of self-management.
- Ability to prioritise and execute multiple tasks in a highly dynamic environment with a results-oriented mindset.
- Strong problem solving with acute attention to detail and ability to meet tight deadlines and project plans.
- Familiarity with Scrum/Agile project management methodologies.
- Collaborate on data visualisation efforts to drive insights for the business
- Design, develop and document database objects with the best architectural principles and patterns.
Other Requirements
- Ready to work in PST time zone ((2/3 PM IST – 11/ 12 AM IST)) Further flexible time-blocking can be created as work starts
- Willing to work in startup environment
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