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Machine Learning Engineer Opt Jobs in Tupelo, MS

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Machine Learning Engineer Opt information

See Tupelo, MS salary details

$30K

$122.6K

$184.3K

How much do machine learning engineer opt jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning engineer opt in Tupelo, MS is $122,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $147,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What are some common challenges machine learning engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What job categories do people searching Machine Learning Engineer Opt jobs in Tupelo, MS look for?

The top searched job categories for Machine Learning Engineer Opt jobs in Tupelo, MS are:

What cities near Tupelo, MS are hiring for Machine Learning Engineer Opt jobs?

Cities near Tupelo, MS with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you

Director, Enterprise Architecture & Technology Strategy

Hancock Whitney Bank

Center, MS • Hybrid

Full-time

Re-posted 7 days ago

Key responsibilities

  • Lead the development and execution of the Bank's enterprise technology strategy and target-state architecture.

  • Define and maintain enterprise architecture standards, principles, roadmaps, and governance processes.

  • Drive application portfolio strategy, modernization, consolidation, and technical debt reduction.

Hancock Whitney Bank rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

93rd of 174 rated banks

Job description

Thank you for your interest in our company! To apply, click on the button above. You will be required to create an account (or sign in with an existing account). Your account will provide you access to your application information. The email address used in establishing your account will be used to correspond with you throughout the application process. Please be sure and check the spam folder. You may review, modify, or update your information by visiting and logging into your account.

JOB FUNCTION / SUMMARY:

The Director, Enterprise Architecture & Technology Strategy is responsible for defining, governing, and executing the Bank's enterprise-wide technology strategy and architectural transformation roadmap. This role establishes the long-term vision for technology platforms, applications, data, artificial intelligence, and operating models to ensure alignment with business objectives, regulatory expectations, and emerging technology trends. Serving as a strategic bridge between business and technology leadership, this position drives platform modernization, application portfolio optimization, enterprise data capabilities, and technology investment decisions that support scalability, resiliency, innovation, and operational efficiency across the organization.

ESSENTIAL DUTIES & RESPONSIBILITIES:

  • Lead the development and execution of the Bank's enterprise technology strategy and target-state architecture, ensuring alignment with business objectives, regulatory requirements, risk frameworks, and long-term growth priorities.
  • Define and maintain enterprise architecture standards, principles, roadmaps, and governance processes across business capabilities, applications, data, infrastructure, integration, and emerging technology domains.
  • Drive application portfolio strategy and rationalization efforts, including application assessment, modernization, consolidation, retirement planning, and technical debt reduction to improve efficiency and technology effectiveness.
  • Lead platform modernization initiatives across cloud, hybrid, and on-premises environments, establishing scalable, resilient, and secure technology foundations that support current and future business needs.
  • Establish and guide enterprise data architecture and AI enablement strategies, including data integration, governance, analytics, machine learning, and responsible adoption of emerging technologies.
  • Partner with executive leadership, business stakeholders, and technology teams to translate strategic priorities into technology roadmaps, investment recommendations, and measurable business outcomes.
  • Drive the evolution of technology operating models, enabling product- and platform-based delivery approaches through reusable services, platform ownership structures, engineering standards, and cross-functional collaboration.
  • Provide enterprise-wide architecture oversight for major technology initiatives and investments, ensuring strategic alignment, risk management, operational sustainability, and value realization.
  • Collaborate with cybersecurity, risk, compliance, audit, and vendor management functions to ensure technology architectures meet regulatory expectations, control requirements, and operational resilience standards.
  • Lead and develop a high-performing Enterprise Architecture organization, fostering innovation, architectural excellence, talent development, and continuous improvement across business, application, data, and infrastructure architecture disciplines.

SUPERVISORY RESPONSIBILITIES:

Carries out supervisory responsibilities in accordance with the organization's policies, procedures and applicable laws; Provides guidance and oversight to and is responsible for the coordination and evaluation of the assigned team. Responsibilities may include interviewing, hiring and training associates; planning, assigning and directing work; performance management; associate compensation; approving expense reports; addressing concerns and resolving problems.

MINIMUM REQUIRED EDUCATION, EXPERIENCE & KNOWLEDGE:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or related field required.
  • Master's degree in Business Administration, Information Technology, Computer Science, or related discipline preferred.
  • 12 years of progressive technology leadership experience, including enterprise architecture, technology strategy, or large-scale transformation initiatives.
  • 6 years of enterprise architecture leadership experience with responsibility for enterprise-wide technology roadmaps and governance.
  • Proven experience leading application portfolio rationalization, platform modernization, and enterprise technology transformation programs.
  • Experience developing and implementing enterprise architecture frameworks, standards, governance models, and operating models.
  • Strong understanding of cloud, hybrid, and on-premises technology environments, distributed systems, integration architectures, and enterprise platforms.
  • Experience with enterprise data architecture, data governance, analytics platforms, and AI/ML enablement strategies.
  • Financial services or other highly regulated industry experience preferred, including familiarity with risk, compliance, audit, and regulatory requirements.
  • Demonstrated ability to influence executive leadership, drive strategic decision-making, and lead high-performing technology organizations.

ESSENTIAL MENTAL & PHYSICAL REQUIREMENTS:

  • Ability to travel if required to perform the essential job functions.
  • Ability to work under stress and meet deadlines.
  • Ability to operate related equipment to perform the essential job functions.
  • Ability to read and interpret a document if required to perform the essential job functions.
  • Ability to lift/move/carry approximately 10 pounds if required to perform the essential job functions. If the employee is unable to lift/move/carry this weight and can be accommodated without causing the department/division an "undue hardship" then the employee must be accommodated; hence omitting lifting/moving/carrying as a physical requirement.

Equal Opportunity/Affirmative Action Employers.  All qualified applicants will receive consideration for employment without regard to race, color, religious beliefs, national origin, ancestry, citizenship, sex, gender, sexual orientation, gender identity, marital status, age, physical or mental disability or history of disability, genetic information, status as a protected veteran, disabled veteran, or other protected characteristics as required by federal, state and local laws.

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