630 Lotus Notes Developer jobs in Brooklyn,NY

New, Posted 18 hours ago

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Principal Quant Developer (MLOps)

Fidelity Investments

Secaucus, NJ 07094

~ 31 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.

New, Posted 18 hours ago

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Store Sales Manager

Mattress Firm

Edgewater, NJ 07020

~ 36 min OnsiteHealth InsuranceRetirement Benefit

Legal authorization to work in the United States without the need for sponsorship.

SmartExplore AI is experimental.

New, Posted 18 hours ago

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Principal Quant Developer (MLOps)

Fidelity Investments

North Bergen, NJ 07047

~ 31 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.

New, Posted 18 hours ago

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Senior Manager of Fleet Maintenance

Interstate Waste Services

Corona, NY 11368

$140,000/yr

~ 27 min Onsite

Minimum 7+ years of progressive fleet maintenance experience, including multi-site oversight
Bachelor's degree in Engineering, Industrial Technology, or related field (or equivalent experience)
Prior experience managing large, heavy-duty vehicle fleets (refuse, vocational, or similar)
Proven 5 years of leadership experience managing Maintenance Managers and/or Supervisors
Strong working knowledge of:
Preventive maintenance programs
Reliability and downtime reduction
OSHA safety standards (LOTO, HECP, shop safety)
CMMS-driven maintenance operations
Demonstrated ability to manage budgets, analyze performance data, and drive execution
Advanced root cause problem-solving and analytical skills
Experience in refuse, waste, recycling, or heavy vocational fleet environments
Lean, Six Sigma, or reliability-focused certifications
Familiarity with enterprise maintenance KPIs and executive reporting cadence

SmartExplore AI is experimental.

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ResumeLibrary

Food & Beverage Associate- Barista

Six Flags

Old Bridge, NJ 08857

$8/hr

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Account Executive, Business Team Sales - Bergen and Hudson Counties

T-Mobile

New York, NY 10036

~ 26 min OnsiteChildcare 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.

Recommended

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Manager, Shopper Insights

Kenvue

Summit, NJ 07901

Hybrid~ 44 minPaid Time Off

A minimum of a Bachelor's degree or equivalent in Marketing, Business Administration, or a related field
A minimum of 5 years of experience in shopper insights, market research, category management or related field
Proven track record of successfully leading shopper insights for mega category in a multinational company
A deep understanding of consumer and shopper psychology and behavior and demonstrating this through how they influence shopper-based decision making
Strong working experience with US retailers and landscape
Experience in omnichannel shopper journeys and, specifically ecommerce shopper understanding
Experience in qualitative and quantitative research methods, including deep understanding of panel metrics, market structure, path to purchase, etc.
Strong analytical skills with the ability to interpret complex data and draw actionable insights
Experience in Self/Personal Care and/or Skin Health & Beauty is preferred

SmartExplore AI is experimental.

District Loss Prevention Supervisor

Home Goods

Yonkers, NY 10710

$65,000-$81,200/yr

~ 42 min OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

1+ years of Management experience as a multi-unit Loss Prevention Manager
Demonstrated ability to work with dynamic Loss Prevention methods and determine appropriate and efficient shrink strategies
Strong management and supervisory skills
Experience with retail operations
Strong investigation and interviewing skills
Ability to work under pressure
Applicants with arrest or conviction records will be considered for employment

SmartExplore AI is experimental.