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Remote Machine Learning Finance Jobs in Texas (NOW HIRING)

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Electronic Arts

Machine Learning Engineer III

Austin, TX · On-site +1

$122K - $158K/yr

You will follow a hybrid work model with a mix of remote work and in-office collaboration. This ... We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial ...

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Remote Machine Learning Finance information

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning, often in finance or technology sectors, with compensation including salary, bonuses, and stock options. Such roles usually require advanced skills in data science, programming, and domain expertise, and may involve leadership responsibilities or specialized technical knowledge.

What is the salary of ML in finance?

The salary for machine learning professionals in finance typically ranges from $80,000 to $150,000 annually, depending on experience, location, and specific role. Senior positions or those with specialized skills in quantitative analysis or financial modeling can earn higher compensation, often exceeding $200,000 with bonuses and incentives.

How do remote machine learning professionals in finance typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

Can machine learning be used in finance?

Machine learning is widely used in finance, including for risk assessment, fraud detection, algorithmic trading, and portfolio management. Financial analysts and data scientists leverage tools like Python, R, and machine learning frameworks to develop predictive models and automate decision-making processes.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Finance professional, and why are they important?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

Which 3 jobs will survive AI?

Remote machine learning finance roles such as quantitative analysts, financial data scientists, and risk managers are likely to persist as they require complex judgment, domain expertise, and interpretative skills that AI cannot fully replicate. These jobs involve understanding financial markets, developing models, and making strategic decisions, often supported by advanced tools and certifications. Continuous learning and staying updated with AI tools can enhance job security in this field.

What is a Remote Machine Learning Finance job?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.
What are popular job titles related to Remote Machine Learning Finance jobs in Texas? For Remote Machine Learning Finance jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Finance jobs in Texas look for? The top searched job categories for Remote Machine Learning Finance jobs in Texas are:
What cities in Texas are hiring for Remote Machine Learning Finance jobs? Cities in Texas with the most Remote Machine Learning Finance job openings:
Remote Machine Learning Finance jobs near you
Machine Learning Engineer - REMOTE

Machine Learning Engineer - REMOTE

PTP

Austin, TX • On-site, Remote

Full-time

Posted 4 days ago

Job description

Job Description
PTP is a fast-growing system integrator that offers strategic Customer Experience (CX) solutions to our clients. We are looking for a Machine Learning Engineerto help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity as well as experience. We are a diverse organization and are looking for bright, passionate, and committed professionals who strive to be the best at what they do.
Responsibilities
  • Use machine learning techniques to create scalable solutions for business problems
  • Analyze and extract key insights from rich stores of customer data
  • Research and implement ML algorithms for a variety of business problems
  • Automate processes for analyses, model development, validation, and implementation
  • General application data and performance analysis

Requirements
  • 2+ years experience with:
    • Natural language processing (NLP)
    • Free-text analytics
    • Machine learning (ML) algorithms
    • Predictive modeling and analysis
    • Data visualization software (Tableau preferred)
  • Familiarity with AWS SageMaker
  • Strong programming skills in Python
  • Experience with SQL and NoSQL databases
  • Strong problem-solving ability
  • Excellent written and verbal communication and skills
  • Degree in Computer Science or related field
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About PTP

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

Year founded

2004

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