712 App Developer Education jobs in New York,NY

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Driver Needed - Earn Extra Money Delivery Lowe's Orders

Bring It Now

North Bergen, NJ 07047

~ 18 min Onsite

Delivery driver
Driver
Pickup TrucksCargo Vans
Cargo VansBox Trucks
SUVs (select deliveries)
Flexible 1099 Gig Work
Work When You Want
Weekly Pay
Deliver in Your Own Community
Orders from $25-$150 per delivery

SmartExplore AI is experimental.

New, Posted 23 hours ago

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DoorDash Shopper - No Experience Needed

DoorDash

New York, NY

Onsite

18+ years old
21+ to deliver alcohol
Any car, scooter, or bicycle
Driver's license number
Social security number (only in the US)
Consistent access to a smartphone
Must be 19+ in Arizona, California, Colorado, Delaware, Florida, Georgia, Idaho, Kentucky, Montana, New Jersey, New Mexico, Texas, Utah, and West Virginia

SmartExplore AI is experimental.

New, Posted 20 hours ago

Recommended

Software Development Engineer in Test II - iOS, Swift, Xcode

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$102,100-$136,900/yr

New, Posted 8 hours ago

Recommended

Easy Apply

Delivery Driver for Walmart, Sam's Club and other retailers

Spark Driver

Atlantic Highlands, NJ 07716

~ 1 hr 5 min OnsiteFlexible Schedule

The Spark Driver app is available on both iOS and Android mobile devices. For best use, we recommend using iOS 11 and newer or Android 5.0 and higher. Additionally, all devices should have a camera with GPS.
You must be 18 years of age or older to complete deliveries with the Spark Driver platform.
A clean, smoke-free vehicle
Valid proof of auto insurance
Valid driver's license
Be authorized to perform services as an independent contractor in the U.S.

SmartExplore AI is experimental.

New, Posted 21 hours ago

Recommended

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AML Compliance Model Developer – Associate

Santander Holdings USA

New York, NY 10012

Onsite

Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field
3–5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services
Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing
Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing
Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets
Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management
Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT
Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts
Strong analytical, quantitative, and problem-solving skills
Ability to multitask, manage priorities, and work effectively in fast-paced environments
Strong communication, documentation, and stakeholder management skills
Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment

SmartExplore AI is experimental.

New, Posted 9 hours ago

Recommended

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Software Development Job Training Program

Year Up United

New York, NY 10060

$525/wk

A high school graduate or GED recipient
Eligible to work in the U.S.
Available Monday-Friday throughout the duration of the program
Have not obtained a Bachelor?s degree
You may be required to answer additional screening questions when applying

SmartExplore AI is experimental.

New, Posted 1 day ago

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Citizens Teller - Part Time

Citizens

Brooklyn, NY 11239

$21/hr

~ 26 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School degree or GED
Minimum of 6 months experience processing transactions (cash and/or digital payments)
Minimum of 1 year demonstrated customer experience, recommending and referring products and services to customers
Strong listening and communication skills
Ability to effectively ask questions and identify needs to enhance and develop a long-term customer relationship
Ability to problem solve and provide solutions to customer issues
Customer-centric to deliver exceptional service
Comfortable with using digital technology to support the delivery of business goals
Ability to work branch hours, which can include weekends and evenings
Qualified candidates must complete a video interview assessment after applying as the next step, to be completed within 7 days of receiving the link. How to prepare: Set aside 30-45 minutes for the self-guided assessment that includes games and questions. Find a quiet place to record and be camera-ready. You'll need a smartphone, tablet, or desktop computer with your camera and microphone enabled. You'll answer questions to share your skills and experience, and bring your personality to the interview. This step accelerates the interview process, moving qualified candidates to hiring manager interview fast.

SmartExplore AI is experimental.

Recommended

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Principal Quant Developer (MLOps)

Fidelity Investments

Newark, NJ 07175

~ 28 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field and six (6) years of experience as a Senior Quant Developer or similar role.
Alternatively, a Master's degree (or equivalent foreign education) in the same fields, accompanied by four (4) years of experience as a Lead Quantitative Development or similar role.
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
Experience in containerization with Docker and orchestration with Kubernetes
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
Awareness of responsible AI governance practices
Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes
Progress towards CFA (or equivalent) a plus

SmartExplore AI is experimental.

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

Grubhub

Elizabeth, NJ 07202

Flexible Schedule

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Account Executive, Business Team Sales - Brooklyn/Queens

T-Mobile

New York, NY 10036

OnsiteUrgently HiringChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School Diploma/GED (Required)
1+ years verifiable new customer acquisition sales experience, preferably within a commissioned environment. (Preferred)
Outside B2B sales experience. (Preferred)
Task Management Ability to work well in a dynamic, fast changing environment that requires a high degree of multi-tasking. (Required)
Customer Service Demonstrated experience delivering superior customer service and attention to detail. (Required)
Communication Excellent interpersonal, written, and oral communication skills. (Required)
Negotiation Effective negotiating and closing skills, including communication, emotional intelligence, and problem-solving. (Required)
At least 18 years of age
Legally authorized to work in the United States

SmartExplore AI is experimental.