726 Machine Learning Infrastructure Engineer jobs in New York,NY

Machine Learning Engineer

Capital One

New York, NY 10001

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Process Engineer– STEM (Electrochemical Machining)

GE Vernova

Parsippany, NJ 07054

~ 45 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in chemical engineering with 6 years of relevant engineering experience (manufacturing, process development, or oil & gas/chemical process engineering), including demonstrated ownership of complex processes or production lines
High School diploma and 10 years' experience (manufacturing, process development, or oil & gas/chemical process engineering), including demonstrated ownership of complex processes or production lines
Proven experience leading PHA/PSM activities and using P&IDs; for process design and troubleshooting.
Advanced proficiency with statistical methods and Design of Experiments (DOE)/ Statistical Process Control (SPC); ability to set capability targets and deliver measurable improvements.
This role requires use of technical data subject to U.S. Government export restrictions and this posting is only for U.S. Persons (U.S. Citizens, lawful permanent residents and protected individuals (e.g., certain refugees and asylees)). GE will require proof of status prior to employment
This is a 100% onsite position.
Intermittent travel approximately 1-2 times a month to Allentown, PA and/or other sites as needed.
Must be able for work occasional off shift/weekend support as required to support a 3-shift operation.
This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

SmartExplore AI is experimental.

New, Posted 8 hours ago

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Senior Machine Learning Engineer - News

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$148,700-$199,400/yr

New, Posted 8 hours ago

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Lead Machine Learning Engineer

Disney Entertainment Television Careers

New York, NY 10025

$179,700-$225,000/yr

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Machine Maintenance Engineer Manager

Adecco

Garden City, NY 11530

$110,000-$140,000/yr

~ 40 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree required.
5–10 years of experience in manufacturing maintenance or equivalent training.
Background in general maintenance of manufacturing machines and process equipment (automated systems, chillers, air compressors, hydraulics, pneumatics).
Proficiency with hand and power tools.
Basic knowledge of electrical systems (DC and AC, 24V–480V).
Ability to read, interpret, and modify electrical schematics and prints.
Experience with ladder logic, PLCs, VFDs, and instrumentation/control devices.
Familiarity with gas/oil heating systems, air handlers, condensers, and evaporators.
Promote and enforce a safety-first culture on the production floor.
Knowledge of Lockout/Tagout, Arc Flash, Machine Guarding, HazCom, DOT, RCRA, and material handling.
Strong problem-solving, analytical, and decision-making skills.
Ability to manage multiple priorities in a fast-paced environment.
Demonstrated success leading, motivating, and coaching diverse teams.
Excellent written and verbal communication; able to interact effectively at all levels.
Ability to lift 50 lbs.
Active role requiring standing, walking, bending, kneeling, stooping, crouching, crawling, and climbing throughout the day.
Fine manipulation and repetitive motion may be required for some tasks.

SmartExplore AI is experimental.

New, Posted 22 hours ago

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ResumeLibrary

Software Engineer - Hybrid NYC

BrainTrust

New York, NY 10007

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Senior Associate - Infrastructure, Capital Projects & Climate Advisory (Project/Program Development & Finance)

KPMG

New York, NY 10025

Onsite

Minimum two years of recent experience in relevant project finance, advisory, or development roles
Bachelor's degree from an accredited college or university in business, finance, engineering, or a related field is required
Experience with financial modeling or econometric modeling
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

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Principal Quant Developer (MLOps)

Fidelity Investments

Hoboken, NJ 07030

~ 16 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 21 hours ago

iHire

Meat Clerk

Uncle Giuseppe's Marketplace

East Meadow, NY 11554

$17-$18/hr

New, Posted 1 day ago

ResumeLibrary

General Technician 2nd and 3rd shift

Quad

Springfield, NJ 07081

$17.50-$19.50/hr

~ 38 min Onsite

Work 8-hour shifts - 2nd Shift (3p m-11 pm), or 3rd Shift (11pm- 7 am)
Work a split shift (every other Saturday as overtime shift)
Lift 10-15 pounds continuously, lift to 70 pounds occasionally, stand for long hours, and use hands and wrists continuously in a controlled movement
Receive and follow instructions
Use vision to identify defects in the product
Good verbal and written comprehension, the ability to thrive in a team environment, and working independently with minimal supervision are required

SmartExplore AI is experimental.