1069 Aiml Data Scientist jobs in Brooklyn,NY

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Manager, Economic Services - Data Science

KPMG

New York, NY 10001

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Newark, NJ 07175

~ 36 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

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Clinical Laboratory Scientist

United States Army

Newark, NJ 07104

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Jersey City, NJ 07311

~ 23 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

New, Posted 15 hours ago

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Major Account Sales

Spectrum

New York, NY 10010

~ 26 min OnsiteUrgently Hiring

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
High school diploma or equivalent from an accredited organization (GED)
Experience selling to corporate executives and outside sales to enterprise, healthcare, government or education clients
Read, write, speak and understand English
Proficiency in Microsoft Excel, Word, PowerPoint and Visio
Experience with ICOMS/CSG or other billing systems
Knowledge of complex services, telecommunications infrastructure and equipment (Routers, Switches, Frame Relay, ATM, SONET, Ethernet)
Understanding of TCP/IP networking, network security, firewalls and telephony products (T1, PRI, SIP)
Familiarity with business software, hardware applications, Intranets and Salesforce
Experience negotiating Master Service Agreements and selling financial/business benefits, closing sales and presenting technical solutions
Valid and active State driver's license with a safe driving record

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Clinical Laboratory Scientist

United States Army

Elizabeth, NJ 07202

New, Posted 14 hours ago

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Night Shift Digital Indigo Press Operator

Quad

Springfield, NJ 07081

$22-$28/hr

~ 43 min OnsiteUrgently Hiring

HP Indigo Digital Press Operator
Experience with print
Able to set up impositions, view color-critical content and make necessary adjustments, troubleshoot technical problems, work with and troubleshoot variable files, work with equipment representatives, work with sales and customer service, interact with internal and external technicians, and process required paperwork for data collection
Operate HP Indigo 12,000 color digital press
Perform daily/weekly/monthly maintenance on equipment as required
Meets the production and quality standards for the press room
Achieves savable color from make-ready, and achieves quality color approvals promptly while maintaining color throughout the run
Accurately monitoring press counts and destinations
Performs appropriate maintenance to machines and keeps machines in proper calibration for optimum performance, including Preventative Maintenance
Willing and able to work overtime during peak production periods
Able to lift 35 pounds when needed to load paper into press
Keep the work area clean
Previous Indigo Digital experience preferred, but will train the right candidate

SmartExplore AI is experimental.

New, Posted 3 hours ago

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Applied Researcher I (Multi-agent Systems, Knowledge Graphs/GraphRAG/Graph-of-Thought / GoT, MCP, LangGraph, Agent Protocols)

Capital One

New York, NY 10001

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Grubhub Driver - Bloomfield, NJ - Fast Cash, Flexible Work!

Grubhub

Bloomfield, NJ 07003

Flexible Schedule

New, Posted 14 hours ago

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Waterpark Facilities Area Manager

Six Flags

Old Bridge, NJ 08857

~ 54 min OnsiteFlexible Schedule

Mechanical aptitude and basic math skills required.
Bachelor of Science degree or equivalent preferred.
Certified pool operator (CPO) or the ability to quickly gain certification
3-5 years experience in managing and directing skilled technical staff.
Must be able to read and write in English.
Must be able to work both indoors and outdoors in variable types of weather and temperatures.
Must be able to climb stairs and stand for long periods of time.
Flexible schedule including nights, weekends and holidays.
Proficiency in Microsoft Office products.

SmartExplore AI is experimental.