942 Intl India Fullstack Developer Net jobs in New York,NY

New, Posted 16 hours ago

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Principal Quant Developer (MLOps)

Fidelity Investments

North Bergen, NJ 07047

~ 18 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
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
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

SmartExplore AI is experimental.

Director, International Brand Presentation

AEO

New York, NY 10025

New, Posted 16 hours ago

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Principal Quant Developer (MLOps)

Fidelity Investments

Jersey City, NJ 07305

~ 22 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
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
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

SmartExplore AI is experimental.

Apply Directly

Senior Associate, International Tax

KPMG

New York, NY 10025

Health InsuranceRetirement Benefit

A minimum of three years of experience working on engagements involving international, mergers and acquisitions, and/or federal tax planning
Bachelor's degree from an accredited college/university
Knowledge of a broad range of international and domestic tax law provisions
Strong research and writing, Excel modeling, and oral communication skills
Ability to balance and lead multiple engagements, supervise and assist with the development and training of new and experienced staff professionals, maintain professionalism, and provide excellent client service
Ability to develop and deepen client relationships and expand the KPMG footprint in the local and global markets while working with both U.S. and non-U.S. KPMG teams to bring the right services to new and existing clients
Follow this link to obtain salary ranges by city outside of CA

SmartExplore AI is experimental.

Director, International Brand Presentation

Unsubscribed

New York, NY 10025

New, Posted 18 hours ago

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Inside Plant Technician – Core Network / Headend Work

TEKsystems

Jersey City, NJ 07305

$28-$38/hr

~ 22 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Hands-on experience working inside headends, hubs, or central offices
Experience with carrier-grade network equipment
Ability to support live network migrations without impacting service
Must be comfortable working 2nd shift to support migration windows
Proven ISP / service provider experience in headend or hub environments
Strong rack and stack experience with telecom and core network gear
Fiber installation, dressing, and testing experience
Experience working with DC power systems
Ability to follow MOPs and support migration work
Troubleshooting ability during installs and cutovers
Equipment Experience (must have some):
Ciena (6500 preferred), Juniper, Cisco ASR, Adtran, Adva, or similar transport
Load configurations and assist with device turn-up
Rack and install telecom and optical transport equipment in headends and COs
Travel site-to-site across NYC, NJ, and Long Island
Work is primarily 2nd shift aligned to migration schedules
Travel throughout NYC metro (Lightpath hubs and similar sites)
Mileage reimbursed; company vehicle may be available
Long-term contract-to-hire tied to core network upgrade projects

SmartExplore AI is experimental.

Principal Product Marketing- International (B2B)

Adobe

New York, NY 10025

New, Posted 22 hours ago

Head of Brand Partnerships

Softseed Technologies GmbH

New York, NY 10025

Flexible ScheduleBilingual Preferred

Director, Luxury Brand Partnerships & Alliances

Exclusive Resorts LLC

New York, NY 10025

New, Posted just now

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GEN AI Developer

Experis

Jersey City, NJ 07302

$85-$115/hr

~ 22 min OnsiteHealth InsuranceRetirement Benefit

5+ years of experience in Data Engineering, Analytics, or Machine Learning/NLP focused roles.
Experience with process mining tools such as Celonis or UiPath Process Mining.
Proven experience with cloud-based data pipelines.
Strong understanding of SQL, Python, and data transformation tools.
Exposure to or hands-on work with Generative AI, LLMs (like Llama, Google Gemini, OpenAI), or vector databases (e.g., Pinecone, FAISS).

SmartExplore AI is experimental.