ZipRecruiter

Log In

1

Home Based Algorithmic Trading Software Developer Jobs in Vermont

Dellfor Technologies

senior java developer

Vernon, VT

$57.50 - $73.25/hr

Company Description Dellfor Technologies is founded by software professionals with fresh approach ... Played Scrum poker to properly assess the tasks and assigned work hours accordingly based on the ...

A.N. Deringer

Senior Software Engineer

Saint Albans, VT · Remote

$90K - $100K/yr

Managing projects and maintaining solutions and source control through GIT and Azure DevOps. ... 000 based on experience and education. Competencies: All Deringer employees should be fully ...

Cisco

Software Engineer, Backend

Montpelier, VT · On-site

$152K - $219K/yr

Experienceutilizingautomated testing frameworks and LLM-based coding assistants within the software development lifecycle. Preferred Qualifications * Programming experience in Rust, Scala, Python.

Aperia Technologies

Solutions Engineer, Remote

Barre, VT · On-site

$120K - $140K/yr

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... Experience and familiarity with the sales/pre-sales processes used in either hardware or software ...

Aperia Technologies

Solutions Engineer, Remote

Rutland, VT · On-site

$120K - $140K/yr

Serve as a subject matter expert on Aperia's products, pilot data, and algorithm behavior to ... Experience and familiarity with the sales/pre-sales processes used in either hardware or software ...

next page

Showing results 1-20

All JobsHome Based Algorithmic Trading Software Developer JobsHome Based Algorithmic Trading Software Developer Jobs in Vermont

Home Based Algorithmic Trading Software Developer information

How much do algorithm developers make?

Algorithmic trading software developers typically earn between $80,000 and $150,000 annually, with experienced professionals or those in high-demand markets earning higher salaries. Compensation can include bonuses and profit-sharing, especially for those working in quantitative finance environments requiring strong programming skills in languages like Python, C++, or Java.

What is the difference between Home Based Algorithmic Trading Software Developer vs Quantitative Analyst?

AspectHome Based Algorithmic Trading Software DeveloperQuantitative Analyst
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; coding certificationsDegree in Mathematics, Finance, or Economics; often advanced degrees
Work EnvironmentRemote, focused on software development and codingOffice or remote, analyzing data and developing models
Industry UsageFinancial firms, hedge funds, trading platformsInvestment banks, asset management, hedge funds
Common Search/ComparisonYesYes

While both roles involve quantitative skills, the Home Based Algorithmic Trading Software Developer primarily focuses on coding and developing trading algorithms remotely, whereas the Quantitative Analyst emphasizes data analysis and model development, often in an office setting.

Who is the richest Algo trader in the world?

The richest algorithmic trader is often considered to be Jim Simons, founder of Renaissance Technologies, a highly successful quantitative hedge fund. His firm employs advanced mathematical models and computer algorithms to generate trading strategies, making him one of the wealthiest individuals in the field of algorithmic trading.

How can I start Algo Trading at home?

A Home Based Algorithmic Trading Software Developer can start algo trading at home by setting up a suitable computer environment with reliable internet, learning programming languages like Python or C++, and using trading platforms that support algorithm development such as MetaTrader or Interactive Brokers. Developing and backtesting trading algorithms requires knowledge of financial markets, data analysis, and coding skills, often supplemented by certifications or courses in finance and programming.

Can you make money with algorithmic trading?

Home Based Algorithmic Trading Software Developers design and implement trading algorithms that can generate profits if properly tested and managed. Success depends on market conditions, strategy quality, risk management, and continuous optimization of algorithms. Consistent profitability is not guaranteed and requires strong analytical skills and experience with trading platforms and programming languages.
What are popular job titles related to Home Based Algorithmic Trading Software Developer jobs in Vermont? For Home Based Algorithmic Trading Software Developer jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Home Based Algorithmic Trading Software Developer jobs in Vermont look for? The top searched job categories for Home Based Algorithmic Trading Software Developer jobs in Vermont are:
What cities in Vermont are hiring for Home Based Algorithmic Trading Software Developer jobs? Cities in Vermont with the most Home Based Algorithmic Trading Software Developer job openings:
Home Based Algorithmic Trading Software Developer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Montpelier, VT • On-site

Other

Re-posted 21 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply