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Intl India Fullstack Developer Net

New York,NY

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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.
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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.
View now
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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.
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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.
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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.
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