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Klaviyo
Boston, MA, United States
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If youre a close but not exact match with the d
Job Source: KlaviyoRELX
Cambridge, MA, United States
Software Engineer Lead *** Machine Learning & AI Are you passionate about Big Data, AI and Machine Learning? Do you enjoy coaching teams to be successful? About our Team Law360® provides breaking legal news and analysis on the most important topics legal professionals, business leaders and regulators need to stay on top of issues, safeguard cli
Job Source: RELXRELX
Cambridge, MA, United States
Software Engineer Lead *** Machine Learning & AI Are you passionate about Big Data, AI and Machine Learning? Do you enjoy coaching teams to be successful? About our Team Law360 provides breaking legal news and analysis on the most important topics legal professionals, business leaders and regulators need to stay on top of issues, safeguard clients
Job Source: RELXRELX INC
Cambridge
Software Engineer Lead *** Machine Learning & AI Are you passionate about Big Data, AI and Machine Learning? Do you enjoy coaching teams to be successful? About our Team Law360® provides breaking legal news and analysis on the most important topics legal professionals, business leaders and regulators need to stay on top of issues, safeguard clients
Job Source: RELX INCEXL Service
Wellesley, MA, United States
Lead ML / AI Engineer, Healthcare Analytics Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutio
Job Source: EXL ServiceDiligent Tec, Inc
Boston, MA, United States
Position: AI/ML Engineer Location: Boston, MA- onsite. Duration: Long Term Contract Experience: Minimum 9+ years Looking for someone to work onsite in Boston, Ma. Description Essential functions include: · Devise AI/ML solutions for document analysis to support learning innovation platforms. · Devise generative AI methods to automate content gene
Job Source: Diligent Tec, IncCherish
Boston, MA, United States
About Us Cherish is developing groundbreaking radar-based sensor platforms that revolutionize health, safety, and wellness monitoring for people in all areas of life. Our patented spatial computing technology works unobtrusively through the air, without changing how people live, and with a strong focus on privacy. We detect emergencies, health issu
Job Source: CherishLilt
Boston, MA, United States
LILT is the leading AI solution for enterprise translations. Our stack made up of our Contextual AI Engine, Connector APIs, and Human Adaptive Feedback enables global organizations to adopt a true AI translation strategy, focusing on business outcomes instead of outputs. With LILT, innovative, category-defining organizations like Intel, ASICS, Walk
Job Source: LiltBoston, MA, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, cyberThink, Inc., is seeking the following. Apply via Dice today!
Lead ML/AI Engineer
Location: Boston MA or Scottsdale AZ or Hartford CT Onsite role
HealthCare Experience a Must
Description:
As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
Key responsibilities:
Support the deployment of ML/AI pipelines on the platform.
Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
Ability to translate functionality into scalable, tested, and configurable platform architecture and software.
Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
Deliver features aligned to enterprise AutoML, Feature Engineering, and MLOPS capability.
Innovative thinking and great communication skills.
Strong ownership of deliverables, with design decisions aligned to scale and industry best practices.
Provide technical leadership and mentorship to a team of machine learning engineers. Collaborate with cross-functional teams to align ML initiatives with overall business goals.
Design, implement, and optimize machine learning algorithms and models. Stay abreast of the latest advancements in ML research and apply them to solve complex business problems.
Architect and implement scalable and efficient machine learning systems. Collaborate with software engineers to integrate ML models into production systems.
Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.
Develop strategies for deploying machine learning models at scale. Ensure models are integrated into production systems with high reliability and performance.
Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements.
Required Qualifications
6+ years of experience in analytics domains, and deep understanding of ML operationalization and lifecycle management.
5+ years of deploying and monitoring analytical assets in batch/real-time business processes.
5+ years of SQL & Python programming experience leveraging strong software development principles.
Experience in designing and developing AI applications and systems.
Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.)
Experience with REST API/Microservice development using Python/Java.
Experience with deployment/scaling of apps on containerized environment (AKS and/or GKE)
Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark
Experience with RDBMS and NoSQL Databases and hands-on query tuning/optimization.
The hourly range for roles of this nature are $40 to $80/hr. Rates are heavily dependent on skills, experience, location and industry.
cyberThink is an Equal Opportunity Employer
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Email Alert for Lead ML/AI Engineer jobs in Boston, MA, United States
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