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Squarespace
New York, NY, United States
The Data Science & Machine Learning team is looking for a Machine Learning Operations Engineer to scale and support our machine learning capabilities. You will work closely with Data Scientists and other Machine Learning Engineers to develop and maintain the machine learning platform that underpins all production data science models to unlock value
Job Source: SquarespaceDice
Little Ferry, NJ, United States
Dice is the leading career destination for tech experts at every stage of their careers. Our client, ICS Global Soft, Inc., is seeking the following. Apply via Dice today! Role: Machine Learning Operations (MLOps) Engineer Proficiency in data science tools such as Pandas, Notebooks, Numpy, Scipy. Experience with both relational and non-relational
Job Source: DiceSirius XM Radio Inc
New York, NY, United States
Who We Are: SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connected Vehicle Services) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on the go with connec
Job Source: Sirius XM Radio IncSirius XM
New York, NY, United States
Responsibilities: Who We Are: SiriusXM and its brands (Pandora, SiriusXM Media, AdsWizz, Simplecast, and SiriusXM Connected Vehicle Services) are leading a new era of audio entertainment and services by delivering the most compelling subscription and ad-supported audio entertainment experience for listeners -- in the car, at home, and anywhere on
Job Source: Sirius XMOffered.ai
Little Ferry, NJ, United States
Offered.ai is helping Michigan Medicine find great candidates. Click the 'Apply' button to submit your application and learn more about Michigan Medicine and the role. Summary Are you wicked smart? Are you a tinkerer at heart who likes to work on the cutting edge and push the bounds of what is possible? The Weil Institute for Critical Care Research
Job Source: Offered.aiPrudential Financial
Newark, NJ, United States
Job Classification: Technology - Engineering & Cloud Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you
Job Source: Prudential FinancialArthur
New York, NY, United States
About Arthur At Arthur, we are deeply passionate about building technology to make AI understandable, effective, and fair. Arthur makes machine learning work for enterprises through performance monitoring, explainability, and bias detection. We believe strongly in front-end ethics: building a company and industry where strong performance and a pos
Job Source: ArthurTriunity Software
Iselin, NJ, United States
JD :- In this role you will build optimized, efficient and reliable products, services and interfaces to federate access to data stores, simplify, automate and manage the ML development and deployment ecosystem. Specifically, you will develop tooling and services to deploy, host and serve ML models at scale. Responsibilities: •Design and develop i
Job Source: Triunity Software, , United States
**SponsorUnited is one of the fastest growing sports & entertainment technology platforms in the world, connecting the partnership ecosystem by providing the most comprehensive and relevant marketing and sales data available anywhere. **
Almost every major pro sports team uses our platform, and our customers currently span 1,200+ organizations across sports, music, media, brands and agencies.
Job Description:
SponsorUnited is seeking a MLOps Engineer (Machine Learning Operations Engineer) to spearhead the development, implementation, and management of our data/ML pipelines, feature stores and monitoring/observability of ML/LLM infrastructure. This role is central to our mission, ensuring the robustness, scalability, efficiency and uptime of our data and AI operations. As the steward of our data quality, workflows and data/AI architecture, you will play a critical role in leveraging AWS technologies to optimize our data warehousing, data lakes and ML infrastructure, setting the stage for innovative uses of ML and AI across our platform.
Key Responsibilities:
Data Pipeline Ownership : Architect, deploy, and manage scalable data pipelines capable of handling vast volumes of data from a diverse array of data sources, including websites, images, audio feeds, and video feeds.
Data Extraction and Intelligence: Implement pipelines to extract relevant information with precision, ensuring high-quality data is readily available for analytics and machine learning applications.
Data & AI Infrastructure Management : Oversee our comprehensive data infrastructure, ensuring optimal performance, reliability, and security across our AWS-based data warehousing and data lake solutions as well as ML infrastructure.
Data Technology Expertise : Leverage extensive knowledge of AWS data services or other cloud data services (including but not limited to Redshift, S3, Glue, Athena, and Kinesis) to build and maintain state-of-the-art data solutions that support our analytical and operational needs.
Cross-Functional Leadership : Collaborate closely with product managers, data scientists, and engineering teams to understand and fulfill data requirements, facilitating the seamless integration of ML/AI technologies to enhance our offerings.
Performance Optimization : Apply advanced techniques for tuning and optimizing data throughput and storage efficiency, ensuring swift and reliable access to critical data insights.
Innovation and Best Practices : Stay at the forefront of data management and cloud technologies, advocating for and implementing cutting-edge practices that contribute to our legacy of technical innovation and excellence.
Qualifications:
10+ years of experience in Data Engineering, MLOps or a similar role, with a strong emphasis on building scalable solutions, demonstrating the ability to design and deploy scalable data solutions.
Bachelor's degree in Computer Science, Data Science, or a related field (or equivalent experience).
Expert knowledge of data lake and data warehouse architecture, data ingestion, transformation, and data modeling best practices.
Experience with ML lifecycle and deploying ML models with model/data monitoring, feature stores and model experimentation tools like MLflow or Weights & Biases.
Some experience with LLMOps lifecycle including understanding of compound AI systems, tracing and evaluation metrics/tools.
Strong, hands-on experience with cloud-based databases (e.g., AWS RDS, Azure SQL Database or Google cloud) AWS RDS and data lake technologies, like AWS S3, Azure Data Lake Storage, or Google Cloud Storage, for managing and storing unstructured and semi-structured data.
Certification in relevant AWS architectures and database technologies such as AWS Certified Solutions Architect Associate/Professional and AWS Certified Data Analytics Specialty is a strong plus.
Strong programming skills in languages to develop applications and scripts for data automation and knowledge of languages like Python, Bash, R, Java, for automation and maintenance tasks.
Expertise in AWS data warehousing platforms, such as Amazon Redshift, as well as exposure to other platforms like Google BigQuery.
Strong understanding of data security and compliance regulations, like SOC2, NIST, PCI, etc.
Excellent problem-solving and communication skills.
Email Alert for MLOps Engineer Machine Learning Operations Engineer jobs in , , United States
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