Hcc Coder

New York,NY

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558 Hcc Coder jobs in New York,NY

Lead Fire Alarm Service Technician

Pye Barker

Carlstadt, NJ 07072

$25-$35/hr

New, Posted just now

Contract QA Engineer - AI Trainer

DataAnnotation

East Rutherford, NJ 07073

Flexible ScheduleBilingual Preferred

Fire Alarm Installation Technician

Pye Barker

Union, NJ 07083

$30-$40/hr

New, Posted 1 day ago

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

Capital One

New York, NY 10001

New, Posted 1 day ago

Software Engineer

BrainTrust

New York, NY 10001

New, Posted 3 hours ago

AI Data Quality Specialist - AI Trainer

DataAnnotation

New York, NY

Flexible ScheduleBilingual Preferred

New, Posted 19 hours ago

Backend Software Engineer

Neptune Flood

Manhattan, NY 10025

New, Posted 1 day ago

Principal Quant Developer (MLOps)

Fidelity Investments

Lyndhurst, NJ 07071

~ 23 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.

Experienced Fire Installer (union)

Johnson Controls

Totowa, NJ 07512

$32/hr

~ 35 min Onsite

High School Diploma or Equivalent
Three (3) years documented experience in low voltage electrical systems, including Fire/Life Safety systems, Access Control, Nurse Call, and Paging systems.
Experience in reading and interpreting blueprints, submittals, and operational/product manuals.
Experience with hand tools test equipment, multi-meter usage, digital analyzer and commissioning devices.
Able to obtain and retain any licenses that are required by National, State and local codes
Capable of performing physical labor to include carrying and moving equipment and tools up to 50-70 lbs.
Able to work in unusual and sometimes difficult positions such as climbing ladders, scaffolding and high lift equipment up to 40 feet, working within ducts, crawl spaces, above ceilings, etc.
Ability to work flexible hours including weekends to meet customer requirements.
Demonstrate a high level of customer service.
Ability to lead & work well with team members.
Ability to adhere to, implement, and follow safety guidelines and procedures at all times.
Strong organizational skills, positive attitude, and an ability to learn quickly.
Possess a valid driver's license and driving record that meets company requirements.
Able to pass a pre-employment background and drug test.
Ability to Overnight travel may be required.

SmartExplore AI is experimental.

New, Posted 10 hours ago

Medical Billing and Collections Representative (Commercial)

Progressive Spine and Orthopaedics LLC

Clifton, NJ 07011

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