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Temporary Computer Vision Deep Learning Engineer Jobs in Chicago, IL

... computer vision, and other cutting-edge techniques. Key Responsibilities: * Lead advanced Data ... deep learning, and NLP. * Conduct rigorous exploratory data analysis and feature engineering to ...

Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field ... Experience in developing and deploying AI/ML and deep learning solutions with libraries and ...

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field ... Experience in developing and deploying AI/ML and deep learning solutions with libraries and ...

Senior AI/ML Engineer

Chicago, IL · Hybrid

$107K - $147K/yr

Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field ... Experience in developing and deploying AI/ML and deep learning solutions with libraries and ...

Senior AI/ML Engineer

Chicago, IL · On-site

$107K - $147K/yr

Bachelor's or masters degree in Computer Science, Data Science, Engineering, or a related field ... Experience in developing and deploying AI/ML and deep learning solutions with libraries and ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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Temporary Computer Vision Deep Learning Engineer information

See Chicago, IL salary details

$50K

$125.2K

$141.6K

How much do temporary computer vision deep learning engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for temporary computer vision deep learning engineer in Chicago, IL is $125,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $135,500.00 per year, depending on experience, location, and employer.

Can I learn ML in 3 months?

A Temporary Computer Vision Deep Learning Engineer typically requires a strong understanding of machine learning concepts, programming skills in Python, and experience with frameworks like TensorFlow or PyTorch. While it is possible to learn foundational skills in three months with intensive study, gaining proficiency for a professional role usually takes longer and involves practical experience and project work.

What is the difference between Temporary Computer Vision Deep Learning Engineer vs Computer Vision Engineer?

AspectTemporary Computer Vision Deep Learning EngineerComputer Vision Engineer
CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related; experience with computer vision tools
Work EnvironmentProject-based, short-term contracts, often in tech or research firmsFull-time, ongoing roles in tech companies, startups, or research labs
Industry UsageCommon in consulting, research projects, or temporary assignmentsStandard role in product development, AI solutions, and software engineering

The main difference is that a Temporary Computer Vision Deep Learning Engineer works on short-term projects focusing on deep learning techniques for computer vision, while a Computer Vision Engineer typically holds a permanent position involved in ongoing development of computer vision applications. The temporary role emphasizes flexibility and project-specific skills, whereas the full-time role involves continuous integration into a company's long-term projects.

Is ML a high paying job?

Machine learning (ML) roles, including positions like a computer vision deep learning engineer, are generally well-paid due to high demand for specialized skills in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but these roles tend to offer above-average compensation compared to many other tech jobs.

Is computer vision a dead field?

Computer vision remains a vibrant and evolving field with ongoing research and practical applications, especially in areas like autonomous vehicles, medical imaging, and security. For a Temporary Computer Vision Deep Learning Engineer, skills in deep learning frameworks such as TensorFlow or PyTorch and knowledge of image processing are essential, and demand continues to grow as technology advances.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data science, or machine learning can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles like senior software engineers, machine learning engineers, and data scientists working in tech companies or finance often reach this compensation level through base salary, bonuses, and stock options.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Chicago, IL? The most popular types of Computer Vision Deep Learning Engineer jobs in Chicago, IL are:
What are popular job titles related to Temporary Computer Vision Deep Learning Engineer jobs in Chicago, IL? For Temporary Computer Vision Deep Learning Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Temporary Computer Vision Deep Learning Engineer jobs in Chicago, IL look for? The top searched job categories for Temporary Computer Vision Deep Learning Engineer jobs in Chicago, IL are:
Machine Learning Engineer - Senior Associate

Machine Learning Engineer - Senior Associate

JPMorgan Chase & Co.

Chicago, IL • On-site

$126K - $166K/yr

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


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


Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.
As a Machine Learning Engineer - Senior Associate within the CIB Technology team at JPMorganChase, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.
Job Responsibilities:
  • Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on AIOps.
  • Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.
  • Develop and implement software architecture and design patterns to ensure scalability and performance.
  • Write clean, maintainable, and efficient code in one or more general-purpose programming languages: Python, Java, C, C++, Go.
  • Implement and manage data pipelines to preprocess and transform data for AI/ML models.
  • Integrate AI/ML models into software applications and ensure seamless deployment into production environments.
  • Optimize software applications for performance, reliability, and scalability.
  • Conduct code reviews and provide technical guidance to junior developers.
  • Stay up-to-date with the latest advancements in software engineering and AI/ML technologies.
  • Ensure adherence to software development best practices, including agile and lean methodologies.
  • Apply SRE principles to enhance system reliability, performance, and availability. Implement monitoring and alerting solutions to proactively identify and resolve issues.

Required Qualifications, Capabilities, and Skills:
  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 5+ years of experience as a software developer with a focus on integrating AI/ML solutions.
  • Strong programming skills in Python, with experience in developing and maintaining production-level code.
  • Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
  • In-depth experience with /Ranking, Recommender systems, RAG (Similarity Search), Agent systems, and other advanced methodologies.
  • Experience with application architecture and design patterns.
  • Proficiency in working with large datasets and data preprocessing.
  • Solid understanding of AI/ML algorithms and techniques, including deep learning and natural language processing.
  • Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.
  • Experience with cloud platforms, such as AWS or Azure, for deploying and scaling software applications.
  • Experience with CI/CD, Observability and Monitoring solutions such Jenkins, Phoenix Arise, Splunk etc.

Preferred Qualifications, Capabilities, and Skills:
  • Familiarity with DevOps practices for software deployment and monitoring.
  • Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka.
  • Experience with distributed computing frameworks, such as Apache Spark.
  • Experience in implementing SRE practices to improve system reliability and performance.

About Us
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
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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