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Machine Learning Td Jobs (NOW HIRING)

TD

Data Scientist III

Charlotte, NC · On-site

$125 - $150/hr

... TD partners.Apply advanced analytics, machine learning, NLP, and LLM capabilities to identify complaint trends, emerging risks, themes, root causes, and customer impact to inform compliance ...

Td

Manager, Data Science (US)

Charlotte, NC · On-site

$96K - $144K/yr

Translate business requirements into analytical frameworks, machine learning models, and actionable ... Connects the alignment of colleague's contributions with the TD Shared Commitments * Builds and ...

TD Bank Group

Manager, Data Science (US)

Charlotte, NC · On-site

$96K - $144K/yr

Translate business requirements into analytical frameworks, machine learning models, and actionable ... Connects the alignment of colleague's contributions with the TD Shared Commitments * Builds and ...

Td

Senior Manager, Data Science (US)

Charlotte, NC

$123K - $184K/yr

Evaluate emerging AI, machine learning, and data science techniques and recommend practical ... Connects the alignment of colleague's contributions with the TD Shared Commitments * Builds and ...

Td

Audit Manager I (US) - Model Risk Audit

New York, NY · On-site

$113K - $149K/yr

... Machine Learning (ML), Generative AI (GenAI), and/or Agentic AI models, including their development ... TD is one of the world's leading global financial institutions and is the fifth largest bank in ...

Td

Counsel - U.S. Privacy and Cybersecurity

New York, NY · On-site

$140K - $231K/yr

Knowledge of emerging AI capabilities, including machine learning (ML), large language models (LLMs ... TD is one of the world's leading global financial institutions and is the fifth largest bank in ...

Td

Counsel - U.S. Privacy and Cybersecurity

Wilmington, DE · On-site

$140K - $231K/yr

Knowledge of emerging AI capabilities, including machine learning (ML), large language models (LLMs ... TD is one of the world's leading global financial institutions and is the fifth largest bank in ...

Td

Counsel - U.S. Privacy and Cybersecurity

Washington, DC · On-site

$140K - $231K/yr

Knowledge of emerging AI capabilities, including machine learning (ML), large language models (LLMs ... TD is one of the world's leading global financial institutions and is the fifth largest bank in ...

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Machine Learning Td information

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$25.5K

$42.6K

$88K

How much do machine learning td jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning td in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Machine Learning Td jobs?

For Machine Learning Td jobs, the most frequently searched job titles are:

Machine Learning Engineer

New York, NY • On-site

Cognizant Technology Solutions
See more jobs at Cognizant Technology Solutionsexternal

$110K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants

Job description

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Machine Learning Engineer (Agentic AI)
About the Role
As a Machine Learning Engineer, you will make an impact by designing, developing, deploying, and optimizing Agentic AI systems and machine learning solutions that solve complex business challenges. You will be a valued member of the AI and Data Engineering team and work collaboratively with Data Scientists, Data Engineers, Data Analysts, DevSecOps professionals, Product teams, and business stakeholders to deliver scalable, production-ready AI capabilities that create measurable business value.
In this role, you will help build next-generation AI products and services while leveraging modern engineering practices to deliver innovative customer experiences.
In This Role, You Will
  • Design, develop, deploy, and optimize machine learning models and Agentic AI systems that address real-world business challenges.
  • Collaborate with Data Science, Product, Engineering, and DevSecOps teams to develop scalable, secure, and production-ready AI solutions.
  • Build and maintain cloud-native AI applications, data ingestion pipelines, memory frameworks, and model-serving architectures.
  • Implement MLOps and AgentOps best practices, including automated testing, CI/CD/CT pipelines, monitoring, observability, and model governance.
  • Contribute to continuous improvement initiatives by evaluating emerging technologies and applying engineering best practices across AI development projects.
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days per week in a client or Cognizant office in New York, New York. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What You Need to Have to Be Considered
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent professional experience.
  • Experience designing, developing, deploying, and supporting machine learning applications in enterprise environments.
  • Strong programming skills in Python and SQL, with exposure to C++ preferred.
  • Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Knowledge of software engineering principles, including object-oriented programming, RESTful APIs, microservices, testing, version control, and system design.
  • Experience developing and deploying ML solutions within cloud-based environments.
  • Familiarity with CI/CD pipelines, automated deployment practices, model versioning, and monitoring frameworks.
  • Knowledge of data engineering concepts, including ETL processes, Spark/PySpark, distributed processing, and large-scale data environments.
  • Strong communication, problem-solving, and collaboration skills.
  • Experience working in Agile development environments. [Global Job...oilerplate | Word]
These Will Help You Stand Out
  • Experience developing Agentic AI applications and autonomous AI workflows.
  • Familiarity with Agent Development Life Cycle (ADLC) methodologies and observability frameworks.
  • Experience using LLM development tools and AI-assisted software engineering platforms.
  • Knowledge of MLFlow, Amazon SageMaker Pipelines, GitHub Actions, Jenkins, CloudBees, or similar MLOps technologies.
  • Understanding of model governance, explainability, drift detection, bias monitoring, and AI risk management practices.
  • Experience working with relational, NoSQL, and graph databases.
  • Knowledge of statistics, probability, linear algebra, predictive analytics, and machine learning optimization techniques.
  • Passion for continuous learning and staying current with emerging AI technologies. [Global Job...oilerplate | Word]

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. [Global Job...oilerplate | Word]
Salary and Other Compensation
The annual salary for this position is anticipated to be between $110,000 and $135,000, depending on experience, qualifications, geographic location, skills, and other job-related factors.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits
Cognizant offers a comprehensive and competitive benefits package designed to support the health, wellbeing, and financial security of our associates and their families, including:
  • Medical, dental, and vision insurance
  • Health Savings Account (HSA) and Flexible Spending Accounts (FSA), where applicable
  • Company-paid life insurance and disability coverage
  • 401(k) retirement savings plan with company contributions, subject to plan provisions
  • Paid time off, company holidays, and leave programs
  • Employee Assistance Program (EAP)
  • Wellbeing and mental health resources
  • Professional development, training, and certification opportunities
  • Career growth and internal mobility programs
  • Associate recognition and reward programs

Benefits may vary by location and employment status and are subject to change.
Application Deadline
Applications will be accepted until September 30, 2026.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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