1871 Robotics Engineer jobs in Union,NJ

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Freelance In-Focus Producer - Spectrum News NY1

Spectrum

New York, NY 10011

~ 35 min Onsite

Experience: Television news - 2+ years
Education: Bachelor's Degree or equivalent professional experience
Technical Skills: Knowledge of social media platforms and basic editing skills (Adobe Premiere and Final Cut Pro)
Skills: Go-getter personality, and excellent interpersonal and collaboration skills
Travel Ability: Must be open to travel to discover the important stories in your neighborhood and willing to interact with the community
Schedule: Ability to work different shifts and be flexible with schedule changes

SmartExplore AI is experimental.

New, Posted 1 day ago

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AML Compliance Model Developer – Associate

Santander Holdings USA

New York, NY 10012

New, Posted 1 day ago

Trainee Entry Level Home Daily, Weekly, and Every 2 weeks

SkillConnect LLC

Elizabeth, NJ 07202

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Writer/Journalist Internship Part-Time in Worldwide - Remote Worldwide

THE BORGEN PROJECT

Union, NJ 07083

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Principal Applied Scientist

Relativity

Newark, NJ 07175

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Senior Solutions Engineer - Northeast

Cloudera

Newark, NJ 07175

New, Posted 21 hours ago

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Aviation Operations & Support

US Navy

Kenilworth, NJ 07033

New, Posted 1 day ago

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AWS Network ENGINEER

Talent Portus

Union, NJ

DiversityJobs

Distinguished Engineer

Scale AI

New York, NY 10261

New, Posted 4 hours ago

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Engineering Program Manager

Keurig Dr Pepper

Newark, NJ 07102

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree in Mechanical, Electrical, Industrial, or Chemical Engineering
8+ years of capital engineering project based experience.
Experience managing projects in the $100k -25 Million range
PMP certified or the ability to obtain certification within 12 months of employment.
Experience with technologies including CSD, Juices and Teas, Aseptic, manufacturing equipment including Fillers, Cappers, Conveyance, Packers, Palletizers, Control Systems, RO, and Batch/CIP systems.
Ability to travel for overnight travel +50%
Ability to work independently as a 100% remote employee.

SmartExplore AI is experimental.

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Principal Quant Developer (MLOps)

Fidelity Investments

Elizabeth, NJ 07202

~ 10 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