Senior Machine Learning Engineer @ Bajaj Finserv

Job Description

PharmaForceIQ is a US-based cutting-edge life sciences omnichannel marketing and analytics SaaS platform company that partners with pharmaceutical, biotech and other life sciences companies to help deliver the Right Message to the Right Physician through the Right Channel at the Right Time by deploying the power of advanced predictive analytics and machine learning. The companys 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 Role You Will Be Responsible For Creating predictive and prescriptive models that could have a positive impact on the business. Driving all data analytics activities ranging from conceptualisation, visualisation to operationalisation. Performing statistical analysis on historical data to validate models. Working across stakeholders to identify and capitalise 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. Building, validating and deploying machine learning models (e.g. predictive, forecasting, clustering). Partnering with product/engineering to deliver machine learning models in production environment to end users. Providing expertise on concepts for machine learning. Developing high-quality code to build and deploy machine learning models. Ideal Profile You possess an advanced degree, ideally a PHD, in Mathematics, Statistics, Computer Science or related field. You have at least 4 years experience, ideally within a Data Engineer or Data Scientist role. Demonstrated experience working with large and complex data sets as well as experience analyzing volumes of data. Ability to write and execute complex queries in SQL. You have working knowledge of ML Ops, Artificial Intelligence, Kubeflow and Fast API You possess strong analytical skills and are comfortable dealing with numerical data You are highly goal driven and work well in fast paced environments What's on Offer Work alongside & learn from best in class talent Excellent career development opportunities Leadership Role

Employement Category:

Employement Type: Full time
Industry: Medical / Healthcare
Role Category: Medical / Healthcare
Functional Area: Not Applicable
Role/Responsibilies: Senior Machine Learning Engineer

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Keyskills:   Predictive Modeling Data Analytics Statistical Analysis Machine Learning Data Processing SQL Artificial Intelligence Analytical Skills Prescriptive Modeling Data Reliability Data Quality Improvement Machine Learning Model Deployment Data Structure ML Ops Kubeflow Fast API