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Commission Machine Learning Startup Jobs in Texas

Vogo

Data Scientist

Dallas, TX · On-site +1

... startup mindset: pragmatic, ownership-driven, and excited to make a measurable impact. This is a strategic, execution-focused role for someone who can drive Machine Learning initiatives end-to-end ...

Senseye

Senior Developer - Cloud (AWS)

Austin, TX · On-site

$165K - $200K/yr

Familiarity with deploying and managing machine learning pipelines in AWS SageMaker. * Strong understanding of secure software development practices. * Ability to excel in a dynamic startup ...

Senseye

Senior Developer - Cloud (AWS)

Austin, TX

$165K - $200K/yr

Familiarity with deploying and managing machine learning pipelines in AWS SageMaker. * Strong understanding of secure software development practices. * Ability to excel in a dynamic startup ...

Senseye

Senior Developer - Cloud (AWS)

Austin, TX · On-site

$165K - $200K/yr

Familiarity with deploying and managing machine learning pipelines in AWS SageMaker. * Strong understanding of secure software development practices. * Ability to excel in a dynamic startup ...

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What is the difference between Commission Machine Learning Startup vs Data Scientist?

AspectCommission Machine Learning StartupData Scientist
CredentialsDegree in Computer Science, Data Science, or related fields; experience with ML modelsDegree in Computer Science, Statistics, or related fields; proficiency in programming and data analysis
Work EnvironmentStartup setting, fast-paced, innovative projects, often remote or flexibleCorporate or research environment, collaborative teams, often office-based
Industry UsageTech startups, AI-focused companies, innovative product developmentTech firms, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding roles in ML startups, freelance or commission-based opportunitiesCareer development, skill requirements, industry roles

Commission Machine Learning Startup roles focus on developing ML solutions within startup environments, often with flexible or freelance arrangements. Data Scientists typically work in established companies, applying statistical and programming skills to analyze data. Both roles require similar credentials but differ in work setting and industry focus.

What are the most commonly searched types of Machine Learning Startup jobs in Texas? The most popular types of Machine Learning Startup jobs in Texas are:
What cities in Texas are hiring for Commission Machine Learning Startup jobs? Cities in Texas with the most Commission Machine Learning Startup job openings:
Commission Machine Learning Startup jobs near you
Senior Lead Software Engineer - Data / Machine Learning Operations

Senior Lead Software Engineer - Data / Machine Learning Operations

JP Morgan Chase

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 21 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

45th of 141 rated banks

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Risk Technology Portfolio team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

  • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Design and develop large-scale solutions or platforms using Cloud services (i.e. AWS) in alignment with the firm wide strategies and security controls
  • Deploy and enable cloud based solutions at firm level, supporting complex analytics and day to day business operations
  • Migrate legacy an big data applications at Cloud native applications with zero downtime
  • Drives decisions that influence the product design, application functionality, and technical operations and processes
  • Develop solutions or tools to monitor, provision components for automation or the processes, services, and reports
  • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software  Development Life Cycle
  • Leverage your strong operational skills to develop impactful recommendations on upstream product, processes, or policy improvements that will optimize the user experience
  • Influences peers and project decision-makers to consider the use and application of leading-edge technologies
  • Adds to the team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training and certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Good knowledge of Machine Learning modelling as an engineer
  • Advanced in one or more programming language(s) and framework(s) (i.e., Python, Java, Big Data, Data pipeline, Machine Learning, etc.)
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Advanced knowledge of application, data, and infrastructure architecture disciplines
  • Working experience in software development, OOPS and SDLC
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Knowledge of the financial services industry and their TI systems
  • Practical cloud native experience
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
  • AWS certifications (e.g. Solutions Architect Associate)
  • Knowledge of RAG architectures and exposure to AI/Automation technologies that improve operations
  • Experience with building Data Pipelines in Spark, Tuning Spark queries
  • Understands Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.)
  • Working knowledge with Big Data platforms (i.e., Hadoop preferred)
  • Experience in Cloud Technologies (i.e., AWS - Databricks preferred)
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

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