Senior Machine Learning Engineer

AI & ML

Experience:

2+ years

Slovakia

US-based cutting-edge life sciences omnichannel marketing and analytics SaaS platform company that partners with pharmaceutical, biotech and other life sciences companies. The company’s focus on the life sciences industry has generated deep expertise in the nuances and complexities involved in the use of life sciences data to make drug marketing more effective. The company works at the intersection of marketing, data science, data management, and analysis technologies, offering a distinctly unique and innovative solution.

Responsibilities

Creating predictive and prescriptive models that could have a positive impact on the business.
Driving all data analytics activities ranging from conceptualization, visualization to operationalization.
Performing statistical analysis on historical data to validate models.
Working across stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions.
Developing scripts to process structured and unstructured data.
Recommending, developing and implementing ways to improve data reliability, efficiency and quality.
Supporting translation of data business needs into technical system requirements.
Working with stakeholders to understand needs in order with respect to data structure, availability, scalability and accessibility.
Defining project scope &specifications, estimating resources required to develop the proposed solution to meet customer requirements and developing schedules, test plans and documentation.
Ensuring specifications and requirements are clearly articulated to the development teams and monitoring timelines & progress.
Gathering requirements and specifications from clients and users in conjunction with the sales team to gain a strong understanding of client expectations.
Identifying potential issues between systems and client specifications and proposing new solutions.
Proposing the technical solution and overseeing the selection of technologies.
Providing clients with regular feedback and updates on projects.
Providing subject matter expertise and direction, guidance, and support on complex sales engagements.
Reviewing proposals and estimates from vendors and ensuring that external solutions work with internal development projects.

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Building & implementing state-of-the-art deep learning models.
Building, validating and deploying machine learning models (e.g., predictive, forecasting, clustering).
Implementing real-time analytics use-cases on the Hadoop ecosystem.
Leveraging Natural LanguageProcessing to improve existing processes.
Partnering with product/engineering to deliver machine learning models in production environment to end users.
Providing expertise on concepts for machine learning.
Providing expertise on the various components & features of the Hadoop ecosystem (such as Spark, Map/Reduce,YARN, Hive, Pig, Impala/Drill etc.).
Designing and setting up Hadoop cluster in line with current and future needs.
Developing high-quality code to build and deploy machine learning models.
Development and troubleshooting onHadoop technologies.
Extraction, transformation, loading and integration of data from various sources.
Monitoring Hadoop cluster for performance and capacity planning.

Requirements

You possess an advanced degree, ideally a Masters, in Mathematics, Statistics, Computer Science or related field.
You have at least 8 years’ experience, ideally as a Data Scientist or ML Engineer with end-to-end experience including Data Engineering and ML Ops
Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data.
You have strong interpersonal and communication skills and are adept at working with multiple stakeholders to drive desired outcomes.

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Terms and benefits

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Senior Machine Learning Engineer

About the role