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Machine Learning Assistant Jobs in Delaware (NOW HIRING)

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

Trade Support, Associate

Newark, DE · On-site

$16.75 - $21.75/hr

... * Assist in training and mentoring junior team members, fostering a collaborative and growth ... Skill in utilizing AI and machine learning to enhance trade service processes, driving improved ...

Trade Support - Associate II

Newark, DE · On-site

$16.75 - $21.75/hr

... * Assist in training and mentoring junior team members, fostering a collaborative and growth ... Skill in utilizing AI and machine learning to enhance trade service processes, driving improved ...

Trade Support - Associate II

Newark, DE

$16.75 - $21.75/hr

... * Assist in training and mentoring junior team members, fostering a collaborative and growth ... Skill in utilizing AI and machine learning to enhance trade service processes, driving improved ...

Trade Support - Associate II

Newark, DE · On-site

$16.75 - $21.75/hr

... * Assist in training and mentoring junior team members, fostering a collaborative and growth ... Skill in utilizing AI and machine learning to enhance trade service processes, driving improved ...

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Machine Learning Assistant information

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

Is ML a high paying job?

Machine Learning Assistant roles are generally well-paying compared to many entry-level positions, with salaries often reflecting the specialized skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. Compensation varies based on experience, location, and industry, but the field is known for competitive salaries and growth opportunities.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior machine learning engineers, or research directors, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These positions are usually found in large tech companies or specialized AI firms and may involve leadership, strategic planning, and cutting-edge research.

Which 3 jobs will survive AI?

For a Machine Learning Assistant, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and domain-specific consultants. These jobs involve nuanced judgment, ethical considerations, and contextual understanding that AI tools currently cannot fully replicate.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized roles such as senior software engineers, data scientists, or freelance consultants with in-demand skills. These positions typically require extensive experience, advanced certifications, or freelance work with high hourly rates, and may involve project-based or contract work in industries like technology, finance, or consulting.

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

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
What are the most commonly searched types of Machine Learning jobs in Delaware? The most popular types of Machine Learning jobs in Delaware are:
What are popular job titles related to Machine Learning Assistant jobs in Delaware? For Machine Learning Assistant jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Delaware look for? The top searched job categories for Machine Learning Assistant jobs in Delaware are:
What cities in Delaware are hiring for Machine Learning Assistant jobs? Cities in Delaware with the most Machine Learning Assistant job openings:
Solutions Analyst - Operations Predictive Modeling & Forecasting

Solutions Analyst - Operations Predictive Modeling & Forecasting

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 19 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Job Summary

The Card Marketing Activation & Transformation team is seeking an experienced & highly motivated Analyst that will focus on the development/maintenance of  complexity modeling  that integrates into the build of end- to- end forecast modeling across all key teams involved in the execution of a marketing campaign. This is a data intensive position that requires prior background in building predictive models, data modeling solutions, and forecasting techniques. 

As a Solutions Analyst, you will leverage statistical and machine learning methods to analyze complex datasets, generate actionable forecasts, and optimize business strategies.

 

Job Responsibilities

  • Design, build, and validate predictive models to forecast capacity requirements across various teams/roles and predict marketing campaign timelines
  • Assist in the development of  data models and other user tools to support analytics initiatives and ensure data integrity
  • Apply statistical and machine learning techniques for time series analysis and forecasting.
  • Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
  • Communicate model results, insights, and recommendations to technical and non-technical audiences
  • Monitor model performance and recalibrate as necessary to maintain accuracy and relevance
  • Document modeling processes, assumptions, and results for transparency and compliance
  • Stay updated on the latest advancements in predictive analytics, data modeling, and forecasting methodologies

Required qualifications, capabilities, and skills

  • Bachelor's degree in a quantitative field or 3 years operational/segmentation analytics or other quantitative experience
  • 4+ years of experience in engineering, statistics, mathematics, or another quantitative field 
  • Proficiency in programming languages such as SQL, Python, R, for statistical modelling
  • Experience with data visualization tools such as Tableau and/or Power BI.
  • Strong understanding of data modeling concepts, including relational and non-relational databases
  • Demonstrated ability to query and analyze large datasets to provide meaningful insights.
  • Ability to understand LLM models and integrate AI capabilities into operational analytics, preferable
  • Strong analytical and problem-solving abilities
  • Experience delivering recommendations to leadership
  • Self-starter with ability to execute quickly and effectively
  • Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives

Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting. 

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

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.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

We offer a broad array of credit cards to meet the needs of individuals and small businesses, including Chase-branded and co-branded cards in partnership with well-known companies and organizations. Merchant Services is a leading provider of payment, fraud and data security for companies, capable of authorizing transactions across global currencies.

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