Zs Associates
Machine Learning Engineer
Zs Associates, Washington, District of Columbia, us, 20022
ZS
is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that’s why here your ideas elevate actions, and here you’ll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives.Machine Learning EngineerAI PracticeZS AI Practice is building transformative AI-enabled data products and solutions. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing. Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms.What You’ll Do
Build, orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model trainingScale machine learning algorithms to work on massive data sets and strict SLAsBuild & Enhance ML Engineering platforms and componentsImplement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loopWrite production-ready code that is easily testable, understood by other developers and accounts for edge cases and errorsEnsure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviewsCollaborate with client teams and global development team to successfully deliver projectsUse bug tracking, code review, version control and other tools to organize and deliver workParticipate in scrum calls, and effectively communicate work progress, issues and dependenciesConsistently contribute to researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions.What You’ll Bring
Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or another computer related discipline2-4 years' experience in deploying and productionizing ML modelsStrong programming expertise in Python / PySparkExperience in ML platforms like Dataiku, Sagemaker, MLFlow or other platformsExperience in deploying models to cloud services like AWS, Azure, GCPExpertise in crafting ML Models for high performance and scalabilityExperience in implementing feature engineering, inferencing pipelines and real time model predictionsExperience in ML Ops to measure and track model performanceGood fundamentals of machine learning and deep learningKnowledgeable of core Computer Science concepts such as common data structures, algorithms, and design patternsExcellent oral and written communication skillsAdditional Skills
Experience with Spark or other distributed computing frameworksUnderstanding of DevOps, CI / CD, data security, experience in designing on cloud platformExperience in data engineering in Big Data systemsPerks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.Considering applying?
At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.To Complete Your Application:
Candidates must possess or be able to obtain work authorization for their intended country of employment.ZS is committed to providing and maintaining a safe workplace. In order to keep its employees safe, ZS recommends that all its employees and contractors be fully vaccinated against COVID-19. Proof of vaccination can be voluntarily provided upon acceptance of offer of employment.NO AGENCY CALLS, PLEASE.Find Out More At:
www.zs.com
#J-18808-Ljbffr
is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact demands a different approach; and that’s why here your ideas elevate actions, and here you’ll have the freedom to define your own path and pursue cutting-edge work. We partner collaboratively with our clients to develop products that create value and deliver company results across critical areas of their business including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy and many more. If you dare to think differently, join us, and find a path where your passion can change lives.Machine Learning EngineerAI PracticeZS AI Practice is building transformative AI-enabled data products and solutions. ZS suite of products and solutions include hyper-personalization, Customer journey design, AI guided selling, large-scale unstructured customer data mining with NLP and dynamic pricing. Our products and client focused solutions use state of the art ML and Deep Learning techniques and ML Engineering Platforms.What You’ll Do
Build, orchestrate, and monitor model pipelines including feature engineering, inferencing and continuous model trainingScale machine learning algorithms to work on massive data sets and strict SLAsBuild & Enhance ML Engineering platforms and componentsImplement ML Ops including model KPI measurements, tracking, data and model drift & model feedback loopWrite production-ready code that is easily testable, understood by other developers and accounts for edge cases and errorsEnsure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviewsCollaborate with client teams and global development team to successfully deliver projectsUse bug tracking, code review, version control and other tools to organize and deliver workParticipate in scrum calls, and effectively communicate work progress, issues and dependenciesConsistently contribute to researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions.What You’ll Bring
Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or another computer related discipline2-4 years' experience in deploying and productionizing ML modelsStrong programming expertise in Python / PySparkExperience in ML platforms like Dataiku, Sagemaker, MLFlow or other platformsExperience in deploying models to cloud services like AWS, Azure, GCPExpertise in crafting ML Models for high performance and scalabilityExperience in implementing feature engineering, inferencing pipelines and real time model predictionsExperience in ML Ops to measure and track model performanceGood fundamentals of machine learning and deep learningKnowledgeable of core Computer Science concepts such as common data structures, algorithms, and design patternsExcellent oral and written communication skillsAdditional Skills
Experience with Spark or other distributed computing frameworksUnderstanding of DevOps, CI / CD, data security, experience in designing on cloud platformExperience in data engineering in Big Data systemsPerks & Benefits:
ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member.We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.Considering applying?
At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact in global healthcare and beyond. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above.ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.To Complete Your Application:
Candidates must possess or be able to obtain work authorization for their intended country of employment.ZS is committed to providing and maintaining a safe workplace. In order to keep its employees safe, ZS recommends that all its employees and contractors be fully vaccinated against COVID-19. Proof of vaccination can be voluntarily provided upon acceptance of offer of employment.NO AGENCY CALLS, PLEASE.Find Out More At:
www.zs.com
#J-18808-Ljbffr